Mekatronik Mühendisliği Bölümü Koleksiyonu

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https://hdl.handle.net/20.500.13055/48

Listeleniyor 1 - 20 / 37

Localization of a high strength and vibration resistant fastening element for the defense industry
(Liberty Academic Publishers, 2026) Demirel, Yusuf Soner; Şentürk, İsmail Hakkı; Tanrıver, Kürşat; Ay, Mustafa; Şahin, Ethem İlhan
In the modern defense and aerospace industry, maintaining the structural integrity of air platforms and optimizing their operational life cycles are directly dependent on the high-precision domestic production of critical components. The indigenization of strategic parts not only minimizes foreign dependency but also ensures supply chain security against embargo risks and international logistical disruptions. This study comprehensively addresses the localization and technical validation processes of a specialized structural pin, which serves as a primary fastener in aerospace structures, aircraft wings, and missile systems, characterized by high strength and vibration damping capabilities. Within the scope of the research, Al 7075-T6 aluminium alloy, a premium material in aerospace standards known for its superior strength-to-weight ratio, was selected as the raw material. During the manufacturing phase, "Swiss-Type Lathe" (Sliding Headstock) technology was utilized to provide high dimensional stability in tight-tolerance geometries, and samples underwent heat treatment processes in accordance with aerospace norms. The mechanical performances of the manufactured specimens were subjected to static and dynamic tests within the framework of internationally recognized NASM1312 standards. In the design validation phase, non-linear static Finite Element Analysis (FEA) was performed using ANSYS software. In these numerical simulation processes, based on experimental data obtained from physical testing equipment, displacement values of 0.55 mm for tensile analysis and 0.23 mm for double shear analysis were defined as boundary conditions in the system. When the numerical analysis results were compared with the experimental data obtained from production samples, a high-correlation alignment was determined with an acceptable deviation of approximately 5%. The fact that both tensile and double shear strength values exceeded the minimum limits specified by the standards, and that the physical fracture lines perfectly overlapped with the plastic deformation zones in the simulation model, proves the reliable applicability of domestic production in critical defense systems with concrete and scientific data.
Fixture design for high-strength fasteners and the effect of surface clearance on test results
(Liberty Publishing House, 2026) Demirel, Yusuf Soner; Acar, Ayberk Okan; Tanrıver, Kürşat; Ay, Mustafa; Sinha, Thuna
In this study, the effects of fixture designs and surface clearance tolerances on test results were investigated for the shear performance of high-strength fasteners, such as 7075-T6 aluminum, which are of critical importance in aerospace assemblies. With reference to ISO 8749 (maximum clearance of 0.15 mm) and NASM 1312-13 (maximum clearance of 0.0125 mm), the performance of compression-type and tension-type fixtures was comparatively evaluated using the Finite Element Method. The analyses were conducted in ANSYS 2025, employing mesh sizes of 0.6 mm for the pin, 0.8 mm for the hole surfaces, and 0.05 mm for the shear region. For fixture material selection, AISI 4140, Toolox 40, and AISI 4340 steels were assessed; AISI 4140 was found to be sufficient to meet the target yield strength criterion of 1.5 times the tensile strength of 7075-T6 aluminum. According to the simulation results, undesired stress levels on the order of 500 MPa were observed on surfaces outside the shear plane in the tension-type fixture. Consequently, the compression-type fixture, which concentrates stresses more effectively on the shear plane, was preferred. To examine the effect of tolerance between the fixture walls, analyses were performed for clearance scenarios of 0.3 mm and 0.025 mm. For these two clearance values, the maximum von Mises stresses were calculated as 641 MPa and 643 MPa, respectively, while the maximum shear stresses were 370.42 MPa and 370.95 MPa. These results, obtained for an 8 × 28 mm pin geometry, indicate that tolerance tightness does not lead to a statistically significant difference in stress outcomes. Consequently, it was concluded that ISO-compliant designs with relatively looser tolerances can be employed to reduce manufacturing costs without compromising test reliability.
Weapon pylon structure topology optimization and stress comparison
(Liberty Publishing House, 2026) Akın, Furkan; Ay, Mustafa; Tanrıver, Kürşat; Sinha, Tuhina
This study focuses on the structural optimization of an aircraft weapon pylon by topology optimization techniques under realistic operational loading conditions. Weapon pylons are critical load bearing components that enable aircraft to carry external stores such as missiles, fuel tanks, and sensor pods. Due to their function, these structures are exposed to complex combinations of aerodynamic forces, inertial loads, and operational stresses, which can significantly influence both flight safety and overall aircraft performance. Therefore, achieving an optimal balance between structural strength and weight reduction is a key design objective in aerospace applications. In this research, multiple load cases representing different flight conditions were defined in accordance with commonly accepted military and aerospace design standards to ensure realistic boundary conditions. The baseline weapon pylon geometry was modeled and analyzed using finite element methods to identify stress distributions and critical regions. Aluminum alloy was selected as the structural material due to its high strength-to-weight ratio, good fatigue performance, and widespread use in aerospace structures. Topology optimization was performed with different mass fraction constraints, specifically 0.4, 0.5, and 0.6, resulting in three optimized design configurations with varying material distributions. The optimized density layouts were subsequently interpreted and transformed into manufacturable solid geometries while preserving the main load paths identified during the optimization process. These redesigned models were then subjected to detailed stress analyses to evaluate their structural performance and to compare them with the original, non-optimized configuration. The results highlights the trade-off between lightweight design and structural durability in weapon pylon structures. Overall, this work presents a practical and systematic methodology for integrating topology optimization with numerical validation, contributing to the development of more efficient and reliable aerospace structural components.
An integrated machine learning and optimization approach for enhanced strength prediction in riveted joints
(Obuda University, 2026) Tanrıver, Kürşat; Ay, Mustafa
In this study, experimental tests, finite element analysis, and machine learning techniques were integrated to predict the maximum shear stress of riveted joints. First, ten tensile tests were conducted, yielding an average stress of 76.0383 MPa on the plates, and the regression analysis of the stress–strain data demonstrated a 95-99% level of agreement. A finite element analysis performed in Ansys under conditions similar to the experiments, produced a result of 78.875 MPa, which falls within an error margin consistent with the literature. Subsequently, a dataset of 20 samples containing various rivet diameters, plate thicknesses, hole coordinates and tensile loads was generated and used, to train a Regression Decision Tree model in MATLAB. For a new design case, the model predicted 7.480 MPa instead of 7.291 MPa, corresponding to an error of approximately 2.50%. When the dataset was expanded to 50 samples, this deviation decreased to 0.82%, indicating a significant improvement in accuracy. Overall, the results demonstrate that the machine learning model rapidly improves, as additional data become available and can provide reliable, fast predictions, including the effects of bending moments, offering a promising approach that may reduce the need for extensive experimental and numerical analyses.
Machine learning assisted mechanical design: Multi objective optimization of welding parameters for robotic gripper joint
(Taylor & Francis, 2026) Tanrıver, Kürşat
This study presents a data driven, mechanically grounded optimization framework to improve the tensile performance of TIG welded AISI 304 stainless steel joints used in load bearing robotic gripper applications. Unlike prior machine learning–assisted welding optimization studies that emphasize metallurgical characteristics or isolated statistical metrics, the proposed approach explicitly links welding parameters to structural per formance and mechanical design requirements of robotic systems. A Taguchi based experimental design consisting of ten orthogonally arranged welding trials was employed to generate the training dataset. Gaussian Process Regression (GPR) and Support Vector Regression (SVR) models were developed to predict ultimate tensile strength (UTS) and eval uated using cross validation metrics. The GPR model demonstrated super ior accuracy, achieving a coefficient of determination exceeding 0.97 with low prediction error. Feature importance analysis identified welding volt age and material thickness as dominant parameters, consistent with their influence on arc stability, heat distribution, weld pool geometry and load bearing cross sectional integrity. Multi objective optimization was performed using a Multi Objective Genetic Algorithm (MOGA), where UTS was treated as the primary mechan ical objective, while heat input and a distortion related surrogate response were included as competing process related objectives. The resulting Pareto optimal solutions yielded UTS values of approximately 554–580 MPa within feasible parameter limits. Model robustness was assessed through Monte Carlo–based uncertainty quantification using ±5% stochastic variation in welding parameters. Two confirmation experiments conducted outside the training dataset demon strated agreement between predicted and experimental UTS values, with total prediction errors below 1.3%. Overall, the proposed ML-MOGA frame work offers a practical optimization strategy for reliable decision making under limited experimental data conditions.
Exoclock project. IV. A homogeneous catalog of 620 updated exoplanet ephemerides
(American Astronomical Society, 2026) Kokori, A.; Tsiaras, A.; Pantelidou, G.; Jones, A.; Siakas, A.; Edwards, B.; Tinetti, G.; Wünsche, A.; Solmaz, Arif; Libotte, F.
The ExoClock project is an open platform aiming to monitor exoplanets by integrating observations from space- and ground-based telescopes. This study presents an updated catalog of 620 exoplanet ephemerides, integrating 30,000 measurements from ground-based telescopes (the ExoClock network), literature, and space telescopes (Kepler, K2 and TESS). The updated catalog includes 277 planets from TESS which require special observing strategies due to their shallow transits or bright host stars. This study demonstrates that data from larger telescopes, and the employment of new methodologies such as synchronous observations with small telescopes, are capable of monitoring special cases of planets. The new ephemerides show that 45% of the planets required an update while the results show an improvement of 1 order of magnitude in prediction uncertainty. The collective analysis also enabled the identification of new planets showing transit-timing variations, highlighting the importance of extensive observing coverage. Developed in the context of the ESA’s Ariel space mission, with the goal of delivering a catalog with reliable ephemerides to increase the mission efficiency, ExoClock’s scope and service have grown well beyond the remit of Ariel. The ExoClock project has been operating in the framework of open science, and all tools and products are accessible to everyone within academia and beyond, to support efficient scheduling of future exoplanet observations, especially from larger telescopes where the pressure for time allocation efficiency is higher (Ariel, JWST, VLT, ELT, Subaru etc.). The inclusion of diverse audiences in the process and the collaborative mode not only foster democratization of science but also enhance the quality of the results.
Finite element analysis and production of a balance robot designed to be used in the field of advertising
(Kerim ÇETİNKAYA, 2025) Coşkun, Yusuf; Aydın, Diyar Can; Aktoz, Halil; Özyılmaz, Lale
This study presents the finite element analysis and prototype development of a self-balancing robot designed for applications in the advertising sector. The structural behavior and dynamic properties of the robot were analyzed using static, modal, and rigid body simulations in ANSYS software. Static analysis confirmed the mechanical durability of the robot by evaluating the forces acting on the motors and body, while modal analysis identified potential resonance conditions. Notably, in the third vibration mode, a deformation of 330.24 mm at 52.169 Hz was observed, indicating a critical resonance issue. To enhance structural efficiency, topology optimization was applied to the outer casing, resulting in a 14% reduction in mass (from 0.45392 kg to 0.39069 kg) while maintaining structural integrity. During the experimental phase, the prototype successfully demonstrated autonomous movement using integrated distance sensors. However, initial tests revealed a wobbling motion due to insufficient motor power, which will be addressed in future iterations by incorporating higher-torque motors. The proposed robot has the potential to serve as an interactive advertising tool, capable of attracting attention through dynamic motion and engaging promotional content display. Future work will focus on enhancing stability and refining control algorithms to improve performance in real-world advertising environments.
Numerical investigation of a savonius wind turbine with different blade overlap distances
(IWEC, 2025) Kırlı, Ahmet Özkan; Gürel, Barış; Özdemir, Kadir
This study examines the aerodynamic efficiency of a Savonius-type vertical-axis wind turbine with various blade gap configurations at different wind speeds through numerical methods. Blade gaps of 10 mm and 20 mm were examined at constant inlet wind velocities of 3, 7, and 11 m/s using two-dimensional transient Computational Fluid Dynamics (CFD) models. The numerical studies utilised the standard k–ε turbulence model to minimise computational expenses, employing a time step of 0.002 seconds across a total simulation period of 15 seconds. The findings indicate that the 10 mm blade gap consistently surpasses the 20 mm arrangement across all wind speed conditions. The findings demonstrate that a diminished blade gap markedly enhances flow organisation, torque stability, and energy conversion efficiency, underscoring the promise of optimised Savonius rotor geometries for small-scale and low-wind renewable energy applications.
Development of an aluminum body ship shaft sealing element
(RDCONF, 2025) Ertuğrul, Hasan; Kaynar, Arda; Tanrıver, Kürşat; Ay, Mustafa
Günümüzde şaft geçişlerinde kullanılan sızdırmazlık elemanları, gemi ve endüstriyel makinelerde güvenlik ve verimlilik açısından kritik öneme sahiptir. Mevcut uygulamalar, genellikle elastomer contalar, metal muhafazalar veya yağlama destekli sistemler üzerine kuruludur. Ancak bu yapılar, montaj sırasında hizalama hatalarına karşı hassas olup birleşim noktalarında sızıntı riski barındırmakta, uzun süreli kullanımda korozyon ve aşınma sorunları ile karşılaşmaktadır. Ayrıca kauçuk veya yaylı mekanizmalara dayalı çözümler, yüksek basınç, titreşim ve sıcaklık altında deformasyona uğrayarak sızdırmazlık performansını kaybederken, yağlama gerektiren sistemler bakım maliyetlerini artırmakta ve çevresel riskler oluşturmaktadır. Bu yetersizlikler, daha dayanıklı, montajı kolay, bakım gereksinimi düşük ve korozyona dirençli yenilikçi tasarımlara olan ihtiyacı ortaya koymaktadır. Bu çalışmada, özellikle endüstriyel makine ve denizcilik uygulamalarında güvenli montaj sağlamak amacıyla kullanabilecek puzzle tipi bir sızdırmazlık elemanı tasarım, geliştirilmesi ve üretilmesi amaçlanmıştır. Bu tasarımın en önemli avantajı, denizcilik uygulamalarında sıklıkla karşılaşılan sızdırma, montaj zorlukları ve korozyon problemlerine etkili çözümler sunmasıdır. Üç parçalı puzzle tipi geçmeli tasarım, tamamlayıcı (dişi-erkek) bağlantı noktaları sayesinde parçaların montaj sırasında otomatik olarak hizalanmasını sağlayarak, işçilik kaynaklı hataları minimize eder ve montaj süresini kısaltmaktadır. Geçmeli bağlantı yapısı sayesinde birleşim noktalarındaki temas yüzeyi artırılarak sızdırmazlık performansı maksimum seviyeye çıkarılmaktadır. Dış yüzeyde bulunan kanal, O-ring, conta veya sıkıştırma teli gibi ek elemanların yerleştirilmesine olanak tanıyarak yüksek basınç ve titreşim altında dahi güvenli bir bağlantı sağlamaktadır. Kullanılan karbon grafit ve korozyona dayanıklı alüminyum alaşımı, deniz ortamındaki aşındırıcı etkiler karşısında uzun ömür ve bakım kolaylığı sunmaktadır. Ayrıca yapının hafif olması, montaj ve taşıma süreçlerini kolaylaştırırken, sistemin genel maliyetini de düşürmektedir. Tüm bu özellikler, güvenlik, dayanıklılık ve operasyonel verimlilik açısından mevcut sistemlere kıyasla önemli üstünlükler sağlamaktadır.
HL23‐5 ve HL23‐6 7075‐T6 alüminyum HI‐LOK vidalı pinler için çekme ve kesme test fikstürlerinin tasarımı ve sonlu elemanlar analizi
(Güven Plus Grup Danışmanlık A.Ş. Yayınları, 2025) Demirel, Yusuf Soner; Acar, Ayberk Okan; Tanrıver, Kürşat; Ay, Mustafa
Öz: Bu çalışmada, havacılık ve savunma uygulamalarında kullanılan HL23-5 ve HL23-6 tipi 7075-T6 alüminyum vidalı pinlerin çekme ve kesme testlerine yönelik özel test fikstürlerinin tasarımı ve sayısal doğrulaması ele alınmıştır. Pinlerin geometrik kısıtları nedeniyle evrensel test makinelerinde doğrudan test edilememesi, fikstür tasarımını zorunlu kılmaktadır. Bu kapsamda geliştirilen fikstürler SolidWorks ortamında modellenmiş; Toolox 33, AISI 304 ve AISI 4140 malzemeleri kullanılarak ANSYS 2025 akademik sürümünde sonlu elemanlar analizleri gerçekleştirilmiştir. Çekme ve kesme yükleme koşullarını kapsayan analizlerde gerilme dağılımları, deformasyonlar ve emniyet katsayıları karşılaştırılmıştır. Elde edilen sonuçlar doğrultusunda, deneysel testler için en uygun fikstür geometrisi ve malzeme seçimi belirlenmiş; çalışmanın küçük çaplı havacılık tipi vidalı pinlerin mekanik karakterizasyonu için güvenilir ve tekrarlanabilir bir test altyapısı sunması hedeflenmiştir.
Dairesel hareket yapan makine elemanlarında iş sağlığı ve güvenliği
(Güven Plus Grup Danışmanlık A.Ş. Yayınları, 2025) Karşılayan, Koray; Tanrıver, Kürşat; Yalçınkaya, Senai; Ay, Mustafa
Öz: İnsanlık tarihinden itibaren yaşamlarını kolaylaştıracak işlerle ilgilenmiştir. Bu nedenle taşları yonttuktan sonra şekil verme ihtiyacı duymuştur. Taşlara verilen şekilde köşeler alınmış dairesel hale gelmiştir. Yapılan bu işlem sonucunda tekerlek icat edilmiştir. İnsanoğlu bu nedenle dairesel hareketi keşfetmiş ve yaşamlarını daha kolay hale getirmiştir. Doğa da yer alan hareket iki gruba ayrılabilir. Bunlardan biri doğrusal hareket diğeri ise dairesel harekettir. Doğrusal hareket koordinat düzleminde bir noktadan başka bir noktaya aktarılırken; dairesel harekette ise belirli bir referans noktası etrafında dönme hareketinin gerçekleşmesidir. İnsanlık tarihi bu hareket yöntemini fark ettikten sonra birçok makine elemanları ve parçalarına dönme hareketini uygulamıştır. Günümüz dünyasında hayatı kolaylaştıran makine parçaları çalışmaları esnasında dairesel hareket prensiplerini oldukça yaygın bir şekilde kullanmaktadır. Makine elemanları çalışırlarken yüksek hızlarda, yüksek kuvvet ve yüksek torklar da çalışabilme kapasitesine sahiptirler. Dairesel hareket prensibi ile çalışan makine sistemlerinde cisimler dönüşlerinden dolayı yüksek merkez-kaç kuvvetlerine uğrarlar. Günümüz dünyasında uygulama olarak birçok mekanik sistemler ve makine elemanları dairesel hareketi kullanırlar. Örneğin bir elektrik motoru içerisinde sahip olduğu manyetik alanı elektrik enerjisine döndürmektedir. Bir diğer uygulama örneği ise dişli-kayış-kasnak sistemleridir. Kayış-kasnak ve dişli sistemleri literatürde hareketi iletim elemanları olarak çalışırlar. Bulundukları konumlardaki hareket enerjisini ya da dönüşünü farklı eksen ya da elemanlara iletmek için kullanılmaktadır. Bunun gibi örnekleri çoğaltmak oldukça mümkündür ki dairesel hareket enerjisine sahip makine elemanları birçok alanda ve özellikte kullanılabilmektedir. Dairesel hareketi prensip olarak temel alan sistemler üretilirken, bakımı yapılırken ya da montaj yapılırken iş kazası yaşanma ihtimali oldukça yüksektir. Bu tür elemanlarla çalışma yapılırken genellikle tehlikeli durum ya da tehlikeli hareket kaynaklı olarak iş kazası meydana gelebilmektedir. Tehlikeli durumlar makine ve sistemlerden kaynaklı olarak gerçekleşirken; tehlikeli hareketler ise kullanıcı hatası sonucu gerçekleşmektedir. İş kazalarının örneği olarak ise dönüş yapan makinelere sıkışma, yakalanma, temas kaynaklı veya parçaların kopma, fırlama sonucunda gerçekleşebilmektedir. Bu çalışmada günümüz dünyasında insan hayatını kolaylaştıracak, dairesel hareket yapan sistemlerin çalışma prensipleri; gerçekleşebilecek ve yaşanabilecek iş kazalarını ve bu kazaları önleme hususunda alternatif çözümler önerilecektir.
Havacılık sektöründe iş güvenliği ve çalışan sağlığının geliştirilmesine yönelik bir uygulama incelemesi
(Güven Plus Grup Danışmanlık A.Ş. Yayınları, 2025) Özyürek, Aytaç; Tanrıver, Kürşat; Ay, Mustafa
Öz: Havacılık ve savunma sanayii, yüksek hassasiyet gerektiren üretim süreçleri ve karmaşık iş akışları nedeniyle iş güvenliği ve çalışan sağlığı açısından kritik bir öneme sahiptir. Bu çalışmada CNK Havacılık firmasının iş güvenliği kültürünü geliştirmek ve çalışan refahını artırmak amacıyla attığı somut adımlar incelenmiştir. Firma; mühendislik, detay parça üretimi (metal şekillendirme, kompozit, CNC), planlama, montaj, komponent ve nihai ürün gerçekleştirme gibi faaliyet alanlarında sistematik bir iş sağlığı ve güvenliği yaklaşımı benimsemiştir. İlk olarak, tesviye bölümünde akredite kurumlarla yapılan ortam ölçümleri sonucunda uygun havalandırma sistemleri kurulmuş ve çalışma ortamının hava kalitesi iyileştirilmiştir. İkinci olarak, talaş taşıma arabaları yanma ve yangın riskine karşı korunaklı hale getirilmiş, böylece olası endüstriyel kazaların önüne geçilmiştir. Ayrıca, ofis alanlarındaki aydınlatma sistemleri ergonomik standartlara uygun şekilde düzenlenmiş, çalışan konforu ve verimliliği artırılmıştır. Üretim alanında ise her tezgâha özel havalandırma sistemleri kurulmuş, çalışanların zararlı madde maruziyeti önemli ölçüde azaltılmıştır. Bu adımların anlatılmasının amacı, CNK Havacılık gibi sektörde faaliyet gösteren diğer firmalara ve bu konuda bilgi edinmek isteyen profesyonellere rehberlik edecek bir model sunmaktır. Böylece, daha sağlıklı bir çalışma ortamı oluşturularak çalışan sağlığı ön plana alınmakta, sürdürülebilir bir iş gücü yapısı ve güvenli çalışma kültürü sayesinde projelerin daha kaliteli yürütülmesi ve zamanında teslimi sağlanmaktadır. Sonuç olarak, CNK Havacılık'ın yaklaşımı, havacılık sektöründe iş güvenliği ve çalışan sağlığı konularında örnek teşkil eden bir model sunmakta ve literatüre uygulama temelli bir katkı sağlamaktadır.
Topology optimization-based lightweight chassis design: A case study on structural efficiency enhancement for an autonomous scale vehicle
(Dicle University, 2025) Taş, Kerem Ali; Karabıyık, Mehmet Can; Tanrıver, Kürşat; Ak, Mine
This study aims to enhance structural efficiency and achieve material savings by employing the topology optimization method for the lightweight design of an autonomous model vehicle chassis. During the design process, the penalty-based Solid Isotropic Material with Penalization (SIMP) method, available within ANSYS Academic software, was utilized. Initially, a structural analysis of the chassis was conducted, followed by the application of topology optimization based on the finite element method (FEM) results. Through iterative solutions under specified loading conditions and boundary constraints, a mass reduction of approximately 27% was achieved compared to the initial geometry. Despite the reduction in mass, the design maintained its structural integrity. Graphical analyses indicated that the optimization process reached convergence after the fifth iteration, with a stabilized distribution of material. The results demonstrate the potential of topology optimization to develop low-cost, lightweight, yet robust structural solutions, emphasizing its effectiveness as an engineering tool in systems where weight reduction is critical, such as autonomous model vehicles.
A high geometric albedo and small size for the haumea cluster member (24835) 1995 SM55 determined from a stellar occultation and photometric observations
(EDP Sciences, 2025) Ortiz, Jose L.; Morales Palomino, Nicolas F.; Sicardy, Bruno; Rommel, Flavia Luane; Braga Ribas, Felipe; Kılıç, Yücel; Fernández-Valenzuela, Estela; Rizos García, Juan Luis; Solmaz, Arif; Morgado, Bruno
Context. Trans-Neptunian objects (TNOs) are thought to be some of the most ancient and primitive bodies in our Solar System. Understanding their basic physical properties is crucial to unraveling their origin and the evolution of the outer Solar System beyond Neptune. Stellar occultations are a highly effective and sensitive method of studying these distant and faint objects, allowing us to gather essential information about their physical characteristics. (24835) 1995 SM55 is one of the few members of the Haumea orbital cluster and, therefore, is an especially relevant body to study within the TNO population. Aims. The main objectives of the present work are to determine the projected size, absolute magnitude, and geometric albedo of 1995 SM55 and to analyze the results compared to Haumea. Methods. We predicted a stellar occultation by this TNO for February, 25, 2024, carried out a specific campaign to observe the occultation, and derived the projected size and shape from the occultation observations using an elliptical fit to the occultation chords. We also analyzed a large set of photometric observations of (24835) 1995 SM55 to obtain the absolute magnitude and the rotational period. Finally, we combined these results to derive the geometric albedo of this TNO. Results. The occultation was successfully detected from seven instruments located at five different sites; 33 other sites reported negative detections. Using an elliptical fit to the occultation chords, we determined the size and shape of the limb of (24835) 1995 SM55 during the occultation: an ellipse with semi-axes (104.3 ± 0.4) × (83.5 ± 0.5) km. The area-equivalent diameter (Deq,A) for this ellipse is 186.7 ± 1.8 km. This is consistent with the upper limit of 250 km estimated from Herschel Observatory thermal data. From our photometric observations, we derived an absolute magnitude (HV ) of 4.55 ± 0.03, a phase slope parameter of 0.04 ± 0.02 mag/deg, and a V − R value of 0.37 ± 0.05. The rotational variability has a maximum peak-to-valley amplitude (∆m) of 0.05 mag, but we could not derive an unambiguous rotational period. Combining the projected size from the occultation with the absolute photometry, we obtained a geometric albedo in the V band (pV ) of 0.80 ± 0.04 for 1995 SM55. This value is remarkably high for a TNO and somewhat higher than that of Haumea, but consistent with the concept that 1995 SM55 is a member of the orbital cluster of Haumea.
Artificial intelligence in planetary science and astronomy: Applications and research potential
(Euro Planet, 2025) Kacholia, Devanshi; Verma, Nimisha; D’Amore, Mario; Angrisani, Marianna; Frigeri, Alessandro; Schmidt, Frédéric; Carruba, Valerio; Hatipoğlu, Y. Güray; Roos-Serote, Maarten; Smirnov, Evgeny; Vergara Sassarini, Natalia Amanda; Solmaz, Arif; Oszkiewicz, Dagmara; Ivanovski, Stavro
Artificial Intelligence (AI) is one of the most influential fields of the 21st century (Zhang et al., 2021). Rich, E (2019) candidly described it as “the study of how to make computers do things which, at the moment, people do better”, today AI often surpasses human ability in tasks like large scale data mining and pattern recognition - its true strength. AI’s subfields - Machine Learning (ML) and deep learning (DL), play a critical role in expanding the usage to a vast variety of fields like planetary science, astronomy, earth observations, and remote sensing, just to name a few. There is an expected inclination towards incorporating AI more frequently in the studies of planetary science given the vast and complex nature of planetary data. In fact, AI has already been instrumental in extracting meaningful insights and advancing research in both interplanetary and astronomical studies. In planetary sciences, several AI techniques have been employed in order to bridge gaps in our understanding of the varied patterns and occurrences for studying the natural features observable from the data returned by scientific payloads. For example, PCA and cluster analysis can help in detecting patterns of compositional variation from multi and hyper-spectral imagery (Moussaoui et al., 2008; D’Amore & Padovan, 2022). Furthermore, to study specific features and patterns in their occurrences, correlations with neighbouring features; unsupervised algorithms and more complex -supervised techniques can be helpful depending on the scale of the task. From simple methods of unsupervised learning like clustering used to study the spectral signatures of Jezero crater on Mars (Pletl et al., 2023) to applying large language models to track asteroids affected by gravitational effects which alter the asteroid’s orbit (Carruba et al., 2025), such applications highlight the prospects of AI in the field of planetary science. Henceforth, to develop a deeper understanding of the potential and applications of ML, below is a typical AI workflow.
Planetary research: A new diamond open access journal for planetary science
(Euro Planet, 2025) Attree, Nicholas; Crameri, Fabio; Broquet, Adrien; Seignovert, Benoît; Hatipoğlu, Güray; Solmaz, Arif; Wieczorek, Mark
Planetary Research is a new diamond open-access journal for the planetary sciences and is set to be launched in January 2026. Planetary Research will follow an alternative to the traditional model of commercial publishing: the diamond open access model, whereby the journal is run entirely by volunteers using free and open-source software, and owned by the community, through a non-profit association that has been set up in France (The Planetary Research Cooperative). This means that all articles published in Planetary Research will be available for free for both authors and readers, with no access, subscription, or submission processing charges, whilst the journal scope and principles are determined by the community through participation in the online forum and monthly meetings. Further opportunities for participation include open calls for the positions of editor-in chief, editors, associate editors, and members of the media team and technical team, with deadlines on July the 1st, 2025 (see https://planetary-research.org for details).
Europlanet machine learning working group: A year of progress
(Euro Planet, 2025) Ivanovski, Stavro Lambrov; Verma, Nimisha; Hatipoğlu, Güray; Angrisani, Marianna; Solmaz, Arif; Smirnov, Evgeny; Carruba, Valerio; Kacholia, Devanshi; Oszkiewicz, Dagmara; D'Amore, Mario
The rapid advances in machine learning (ML) present unprecedented opportunities for planetary science. We have established a dedicated working group (WG) focused on the application of ML in this field to harness these technological advancements, address complex scientific questions, and enhance our understanding of planetary systems. The Europlanet Machine Learning Working Group held its kick-off meeting during the EPSC 2024 in Berlin, September 2024. The discussion focused on launching the group for exchanging ideas and opportunities with people within and outside of Europlanet’s membership for the first year of its launch. Some of the main goals established were to create a knowledge-sharing platform for members to share their research and invite collaboration, form sub-groups within the WG to expand on current research focus, and foster new collaborative research opportunities within or outside of Europlanet with new funding.
Testing the performance of cross-correlation techniques to search for molecular features in JWST NIRSpec G395H observations of transiting exoplanets
(Oxford University Press, 2025) Esparza-Borges, Emma; Lopez-Morales, Mercedes; Palle, Enric; Makhnev, Vladimir; Gordon, Iouli; Hargreaves, Robert; Kirk, James; Caceres, Claudio; Solmaz, Arif; Redfield, Seth
Cross-correlations techniques offer an alternative method to search for molecular species in James Webb Space Telescope (JWST) observations of exoplanet atmospheres. In a previous article, we applied cross-correlation functions for the first time to JWST NIRSpec/G395H observations of exoplanet atmospheres, resulting in a detection of CO in the transmission spectrum of WASP-39b and a tentative detection of CO isotopologues. Here, we present an improved version of our cross-correlation technique and an investigation into how efficient the technique is when searching for other molecules in JWST NIRSpec/G395H data. Our search results in the detection of more molecules via cross-correlations in the atmosphere of WASP-39b, including H2O and CO2, and confirms the CO detection. This result proves that cross-correlations are a robust and computationally cheap alternative method to search for molecular species in transmission spectra observed with JWST. We also searched for other molecules (CH4, NH3, SO2, N2O, H2S, PH3, O3, and C2H2) that were not detected, for which we provide the definition of their cross-correlation baselines for future searches of those molecules in other targets. We find that that the cross-correlation search of each molecule is more efficient over limited wavelength regions of the spectrum, where the signal for that molecule dominates over other molecules, than over broad wavelength ranges. In general, we also find that Gaussian normalization is the most efficient normalization mode for the generation of the molecular templates.
Değiştirilebilir platformlu rover araç
(BIDGE Publications, 2025) Aydın, Diyar Can; Aktoz, Halil; Özdalgıç, Berin; Solmaz, Arif
Bu çalışmada, çok amaçlı kullanım senaryolarına uyum sağlayabilen, modüler yapıda bir rover araç tasarımı ve geliştirilmesi ele alınmıştır. Geliştirilen sistem; arazi keşfi, çevresel veri toplama, mahsul analizi ve tarımsal ürünlerin toplanması gibi görevleri yerine getirebilecek şekilde yapılandırılmıştır. Tasarım süreci; robot kolları, görüntü işleme algoritmaları, sensör tabanlı veri analizi ve modüler mekanik-elektronik yapılar üzerine yapılan kapsamlı literatür taramalarıyla temellendirilmiştir. Sistem geliştirme süreci, elde edilen akademik ve deneysel veriler doğrultusunda özgünleştirilmiş; prototip üretimi sonrası gerçekleştirilen saha testleri ile sistem performansı değerlendirilmiştir. Bu doğrultuda, sadece mekanik yapı değil, elektronik devreler, yazılım altyapısı ve görev modülleri de geri bildirimler doğrultusunda sürekli olarak optimize edilmiştir. Kullanılan sensör ve modüller görev bazlı olarak çeşitlendirilmiştir: arazi analizi için gaz sensörleri, kamera, robot kol ve aydınlatma sistemleri; tarımsal uygulamalar için ise nem ve sıcaklık sensörleri ile otonom destekli robotik kollar entegre edilmiştir. Sonuç olarak, bu çalışma farklı operasyonel ihtiyaçlara cevap verebilen, yeniden yapılandırılabilir modüllere sahip, sahada etkin görev icra edebilen otonom bir robotik platform geliştirilmesini hedeflemektedir. Sistem, çok disiplinli bir yaklaşımla tasarlanmış olup, tarım teknolojileri ve keşif robotları gibi çeşitli alanlara katkı sağlayacak potansiyele sahiptir.
Girişimcilik ağı: Çok katmanlı dijital girişimcilik ağı platformu tasarımı ve uygulama modeli
(BIDGE Publications, 2025) Adsan, Murat; Tanrıver, Kürşat; Solmaz, Arif; Aydın, Yenal; Ak, Mine; Akkuş, Nihat; Başargan, Hakan
Bu çalışmada, dijital girişimcilik alanında çoklu kullanıcı tipine uygun olarak geliştirilen ve sürdürülebilir dijital ağ yapısıyla öne çıkan Girisimagi platformu tanıtılmaktadır. Girisimagi, yalnızca üniversite öğrencilerine değil; bireysel girişimcilere, kurumsal firmalara, yatırımcılara ve mentörlere hitap eden bütünleşik bir sistem olarak yapılandırılmıştır. 2024’te Türkiye girişimcilik ekosistemi 331 yatırım anlaşmasıyla 2,6 milyar USD işlem hacmine ulaşırken, internet penetrasyonu %86,5’e yükselmiş. Bu göstergeler, ölçeklenebilir dijital platformlara duyulan ihtiyacı net biçimde ortaya koymaktadır. Proje, kullanıcıların projelerini tanıtabilecekleri, sponsorluk ve mentörlük desteği alabilecekleri, firmaların ihtiyaç duyduğu girişim fikirleri için çağrıda bulunabilecekleri bir dijital ortam sunmaktadır. Girisimagi.org alan adı altında yapılandırılan ana platform, WHM/cPanel altyapısı üzerine kurulu olup; teknik moderasyon, içerik denetimi, kategoriye ayrılmış içerik yönetimi ve proje-firma eşleşme sistemleri gibi gelişmiş özelliklere sahiptir. Literatürdeki benzer platformlardan farklı olarak bu sistemde kullanıcı türlerine göre özelleştirilmiş iş akışları ve açık inovasyon destekli modüller entegre edilmiştir. Sunulan platform, girişimcilik kültürünü yaygınlaştırmak, üniversite-sanayi iş birliğini güçlendirmek ve projeleri somut çıktılarla desteklemek amacıyla geliştirilmiştir. Bildiride sırasıyla (i) modüler platform mimarisi, (ii) LAMP tabanlı teknik altyapı ve ölçeklenebilirlik çözümleri, (iii) pilot uygulamadan elde edilen kullanıcı deneyimi bulguları ve (iv) sürdürülebilirlik ile gelecek çalışma önerileri ele alınarak okuyucuya net bir yol haritası sunulmaktadır.

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