Profile URL: https://hdl.handle.net/20.500.13091/11676
Job Title:Arş. Gör. Uzm.
Email Address:msgumus@ktun.edu.tr
Main Affiliation:02.10. Department of Mechanical Engineering
Status: Current Staff
ORCID:
0000-0003-2332-3745
0000-0003-2332-3745Scopus ID:
57365021300
57365021300YÖK Akademik: 91BCC890BC861EBC
Web of Science ID:
GZG-4869-2022
GZG-4869-2022Name Variants:
Gumus, Mehmet S. Gumus, M. S.
11 results
Scholarly Output Search Results
Now showing 1 - 10 of 11
Book Part The High Potential of Industrial Robots in the Machining Process To Empower Mass Customization: Advantages and Deficiencies(IGI Global, 2023-06-16) Gümüş, M.S.; Kalyoncu, M.Today, the majority of machining operations are performed with CNC machine tools thanks to the high machining accuracy and repeatability. However, the need for dedicated machines for different machining operations is a disadvantage of CNC machine tools customized for the process to be applied. Therefore, a multifunctional and lower-cost industrial robot could have the potential to replace existing machine tools. In this chapter, the high potential of robotic machining in mass production systems is introduced. The deficiencies of robotic manufacturing to obstacles in its direct application to all kinds of chip re- movalprocesses is discussed. Theparameters affecting the robot's stiffness are discussed. It is explained how the robot configuration should be optimized for minimum vibration. In addition, the approaches to determine the most suitable tool path to reduce vibration and improve surface quality are explained. Finally, active vibration-damping methods applied in the literature that can be used to prevent vibration in robotic chip removal processes are introduced. © 2023, IGI Global. All rights reserved.Conference Object Vibration Fatigue Analyses of a Cantilever Beam in Transportation Based on Military Standard(2019) Gümüş, Mehmet Sefa; Şen, Muhammed Arif; Kalyoncu, MeteThis study includes the vibration fatigue analyses of a cantilever beam exposed random vibration while transporting based on the specified military standard using Miner’s Cumulative Damage technique. The theory of Miner is introduced in detail. Finite element model is used to obtain the stresses on the designed cantilever beam under random vibration. Response Power Spectral Density is presented in graphical form at critical points. The fatigue life of the cantilever beam is calculated by using the stresses obtained by random vibration analysis.Article Citation - WoS: 2Citation - Scopus: 2Experimental Evaluation of Different Spectral Methods for Damage Estimation of an Electrical Panel Bracket Mounted on a Military Wheeled Vehicle(Korean Soc Mechanical Engineers, 2021-12-01) Gümüş, Mehmet Sefa; Erdemir, Abdullah; Alver, Veysel; Kalyoncu, MeteThis study evaluates different frequency domain vibration fatigue methods by verifying the results of the analyses with the experimental data on the bracket of an electrical panel mounted on a military vehicle. Loadings are defined considering composite wheeled vehicle vibration exposure as stated in the MIL-STD-810G Standard. The electrical panel and the bracket are simulated by FEM. Response PSDs are created on critical points. The experiment is carried out by using a uniaxial electrodynamic shaker. In this study, the Dirlik method proposes the most reliable and accurate fatigue life, while the Wirsching-Light method overestimates. Ortiz-Chen has made a very conservative prediction among other methods in this case study.Article Citation - WoS: 12Citation - Scopus: 13Improvement of Turbulent Flow in a Bend Using Rotational Guide Vane: a Shape Optimization(American Institute of Physics Inc., 2023-10-01) Yagmur, S.; Gumus, M.S.; Dogan, S.; Kalyoncu, M.The present study aims to minimize velocity disruption using rotational guide vane (RGV) before the 90° pipe bend where the curvature ratio is r/D = 1.0 at Re = 3 × 104. The combination of computational fluid dynamics and genetic algorithm is used as a tool for the geometric optimization of RGV. The SST k-ω turbulence model was preferred in flow analysis. The number of blade, the blade angle, and the location of RGV are the geometric parameters to be optimized. A new evaluation method of the velocity distribution after the bend is proposed. The objective function is defined as velocity distribution mean squared error that is based on the comparison of the velocity distribution on the cross section after the bend with the fully developed flow in a straight pipe under the same conditions. As a result of a series of optimization processes, velocity distribution at the 90° bend exit is compared between optimized RGV and without guide vane. The results show that the optimized RGV improves velocity distribution at the bend exit. Compared to the without guide vane case, the optimized RGV has delayed flow separation from α = 37° to 56°, and the flow reattachment point moves from x/D = 0.5 to 0 at the bend exit. Thanks to optimized RGV, the counter-rotating Dean vortices merged to form a single vortex at the center of the pipe. In addition, significant reduction in turbulent kinetic energy was observed, approximately 50% when using the optimized RGV compared to the without guide vane case. © 2023 Author(s).Article Citation - Scopus: 2A Novel Architecture for Artificial Neural Networks to Solve the Inverse Kinematics Problem in Robotics(Springer Heidelberg, 2025-08-02) Gumus, Mehmet Sefa; Kalyoncu, MeteInverse kinematics calculations are of great importance to control robotic systems. In more specific applications such as vibration control and calculating endpoint forces, online inverse kinematics calculations are required, instantaneously. Geometric, iterative, and algebraic approaches might be insufficient to provide the desired speed or performance in complex robot structures such as a 6-degree-of-freedom industrial robot. Artificial neural networks (ANNs) are an appropriate alternative for pose prediction and trajectory generation to reduce computational cost. In the present study, cascade networks architecture is introduced. The novelty of this study is that the proposed architecture aims to reduce positioning errors by estimating each joint angle sequentially starting from the base considering the kinematic chain of the robot. The performance of ANNs for inverse kinematics prediction on precision was investigated. The proposed ANN architecture is compared with existing approaches. Neural networks are trained using the dataset obtained by forward kinematics calculations using the kinematic model of the Yaskawa GA50 industrial robot. Hyperparameters were systematically optimized through multiple observations. The optimized models to predict the solutions in joint space were evaluated for two different robotic trajectories. The proposed cascade neural network architecture improves the precision of the solutions.Article A General Semi-Mechanistic and the Bees Algorithm-Based Optimization Framework for Two-Roll Chocolate Refining: Target-Band Particle Size Control and Experimental Validation(Springer, 2026-05-28) Sen, Muhammed Arif; Kalyoncu, Mete; Cakan, Abdullah; Adsiz, Ahmet; Gumus, Mehmet Sefa; Aygahoglu, Mert Eren; Er, MustafaParticle size distribution (PSD) is a key process descriptor in chocolate refining because it affects rheology, texture development, and downstream processability. In industrial practice, however, two-roll refining conditions are still often adjusted empirically, which makes it difficult to consistently transform a broad inlet PSD into a controlled intermediate product band suitable for downstream refining. This study proposed a general semi-mechanistic and optimization-based framework for two-roll chocolate pre-refining, developed to predict and control the redistribution of particle volume from a coarse inlet range toward a prescribed outlet interval. The model integrated roll-gap-governed stressing, a population-balance-based redistribution structure, a daughter-distribution kernel, and a closed-circuit recycle representation within a unified computational framework. Rather than claiming direct observation of each internal mechanism, the framework was used to predict the outlet PSD response and its dependence on operating variables under a consistent engineering representation of compression-shear action, effective redistribution, and recycle-assisted coarse-particle control. The operating conditions are optimized using The Bees Algorithm (BA), enabling selective target-band formation rather than indiscriminate particle size reduction. Although the modelling framework is formulated in general form, its practical applicability is demonstrated through an industrial fixed-geometry case study based on a production-scale system with a roll diameter of 400 mm and a roll width of 1300 mm. In the application considered, the inlet particle population lies in the 150-800 mu m range and the desired outlet product is concentrated in the 120-150 mu m band. In this study, the two-roll unit was treated as an upstream pre-refining and pre-size-control stage in the chocolate paste preparation line, located before the downstream five-roll refining operation. Accordingly, the 120-150 mu m band was not interpreted as the final sensory target of finished chocolate, but as an intermediate engineering target used to narrow and stabilize the coarse feed before subsequent fine refining. The optimized solution is evaluated in terms of characteristic particle sizes, on-spec fraction, residual undersize and oversize fractions, specific energy consumption, thermal response, and cross-width uniformity. Experimental trials performed at MEMAK are used to compare numerical and measured cumulative and differential volumetric PSDs. The results show that the proposed framework captures the main redistribution behavior of the industrial process with good accuracy and successfully identifies an operating regime that concentrates most of the product volume within the desired target band. The study therefore provides both a general modelling framework for two-roll chocolate pre-refining and a practically validated basis for process optimization, operating-window identification, and future digital-twin-assisted industrial process control.Article Inverse Particle Size Distribution Targeting in Chocolate Roller Refining(Elsevier Sci Ltd, 2027) Şen, Muhammed Arif; Kalyoncu, Mete; Çakan, Abdullah; Adsız, Ahmet; Gümüş, Mehmet Sefa; Ayğahoğlu, Mert Eren; Er, MustafaChocolate quality and processability are strongly influenced by the particle size distribution (PSD) together with fat content and the emulsifier system, through their combined effect on rheology, texture, and sensory perception. Roller refining is a dominant industrial route to achieve target PSDs, yet practical recipe-to-PSD inverse design remains challenging because the process response is nonlinear, multi-stage, and depends on both operating conditions and effective material breakage behavior. This study presents an engineering-oriented PBMdriven inverse-design framework for roller refining in which a staged population balance model (PBM) is embedded into a constrained optimization loop to compute feasible roll-speed and throughput setpoints that match both PSD percentile metrics and the cumulative PSD curve. The Bees Algorithm (BA) is used here as a representative derivative-free solver choice for the resulting nonconvex, constraint-driven optimization problem; the contribution is the inverse-design formulation and validation rather than the selection of a specific meta-heuristic. A feasibility scan is introduced to quickly verify whether a target PSD lies inside a coarse reachable envelope under operating bounds, and selected effective breakage parameters are tuned under explicit regularization to mitigate model mismatch without overfitting. In the demonstrated case study, the optimized settings achieved close agreement with target metrics (d10, d50, d90, span) and a low cumulative-curve error (curveRMSE approximate to 0.0118). Experimental validation is provided by overlaying measured PSD data against both the target and model-optimized predictions in differential (volume %) and cumulative forms, showing strong agreement in the target size range. The proposed framework enables fast inverse tuning for roller refiner operation planning and provides a practical bridge between PBM modeling and industrial setpoint optimization.Article Dimension Optimization of Polycentric Knee Mechanism Using the Bees Algorithm and Genetic Algorithm(2023-06-26) Gümüş, Mehmet Sefa; Çakan, Abdullah; Kalyoncu, Mete; Ayğahoğlu, Mert ErenIn knee prostheses, the curve of the instantaneous center of rotation (ICR) and, therefore, stability of the prothesis are the most important parameters to be considered. The ICR curve depends on many parameters. One of them and the most effective one is the dimensions of four bar mechanism. In polycentric knee mechanisms, it has become inevitable to use optimization techniques while determining the dimensions of the mechanism for the stability of the prosthesis in the stance position. In this study, definitions of knee prostheses and polycentric knee mechanisms are given, optimization studies written in this field are mentioned thorough literature research. The study aims to find mechanism dimensions that gives ICR curve close to the reference curve by optimizing the mechanism dimensions of four-bar knee mechanisms. The Bees Algorithm and Genetic Algorithm (GA) were used for this purpose. The limits and objective function for the optimization were determined, and after many trials, separate mechanism dimensions with The Bees Algorithm and the Genetic Algorithm are obtained. By comparing the results, it has been observed that the dimensions obtained by The Bees Algorithm produced a better approximation to the reference instantaneous center of rotation curve.Article Cascade Proportional Derivative Controller for a Flexible Link Robot Manipulator Using the Bees Algorithm(2023) Çakan, Abdullah; Kalyoncu, Mete; Gümüş, Mehmet SefaIn this study, a flexible robot arm model and the design of its controller are introduced. The robot arm consists of a single flexible link. It is desired to control the circular position of the robot arm and the vibration of the tip point. Cascade proportional derivative controller was used to control the position and reduce the tip vibration. Controller gains were found using the bees algorithm. The weighted function of system responses such as settling time, maximum overshoot, steady-state error is used as a performance criterion while searching for the best parameters. In addition, controller gains were obtained with the genetic algorithm to evaluate the working performance of the bees algorithm. It has been observed that the Cascade PD controller, whose gains are optimized by the bees algorithm, successfully controls the flexible robot arm system and reduces the vibration of the tip point.Master Thesis Tekerlekli Askeri Araç Bileşenlerinin Titreşim Kaynaklı Yorulma Analizleri(Konya Teknik Üniversitesi, 2020) Gümüş, Mehmet Sefa; Kalyoncu, MeteBu çalışmada, askeri tekerlekli araçlar üzerine bağlanan bileşenlerin titreşim kaynaklı yorulma analizleri yapılmıştır. Deneysel doğrulama uygulaması olarak askeri araç üzerine bağlanan bir elektrik panosu askı aparatı kullanılmıştır. Elektrik panosu askı aparatı üzerinde zaman ve frekans uzayında titreşim kaynaklı yorulma analizleri gerçekleştirilmiş ve yapılan yorulma test sonuçlarıyla karşılaştırılarak önerilen yöntemlerin deneysel doğrulama yapılmıştır. Elektrik panosunun bağlanacağı araç üzerinde meydana gelecek titreşimleri tanımlamak için ABD Savunma Bakanlığı tarafından hazırlanmış MIL-STD-810G Test Standardı kullanılmıştır. Elektrik panosu askı aparatının üç boyutlu bir katı modeli oluşturularak sonlu elemanlar yöntemiyle modal analiz ve belirtilen yüklemeler altında rastgele titreşim analizleri gerçekleştirilmiştir. Frekans uzayında Narrow-Band, Wirsching-Light, Ortiz-Chen, Tunna, alfa_0.75, Tovo-Benasciutti ve Dirlik yöntemlerine göre yorulma ömürleri hesaplanmıştır. Zaman uzayında ise olası hasar noktaları üzerinden alınan tepki güç spektral yoğunluklarına göre gerilme-zaman geçmişi sentezlenmiştir. Sentezlenen zaman geçmişlerinin tepki güç spektral yoğunluklarına uygunlukları kontrol edildikten sonra Rainflow Algoritması'na göre çevrimler sayılmıştır. Sayılan çevrimlerin meydana getirdiği hasarlar Palmgren-Miner hasar birikimi teorisine göre toplanarak askı aparatının araç üzerinde farklı eksenlerdeki ömürleri elde edilmiştir. Askı aparatının bağlanacağı araç üzerindeki minimum ömür, boyuna eksende gözlemlenmiştir. Bu yönde tanımlanan yüklemeler altında elektrik panosu askı aparatının ömrü deneysel olarak titreşim testleriyle elde edilmiştir. Deneysel olarak gözlemlenen ve elde edilen yorulma ömrü, zaman uzayında ve frekans uzayında önerilen yöntemler kullanılarak hesaplanan yorulma ömürleriyle karşılaştırılmış ve sonuçlar tablolar halinde sunulmuştur.
Research Topics
Domains
Physical SciencesLife Sciences
Fields
EngineeringAgricultural and Biological Sciences
Subfields
Control and Systems EngineeringMechanics of MaterialsCivil and Structural EngineeringMechanical EngineeringComputational MechanicsFood Science
Specific Research Areas
Robotic Mechanisms and Dynamics
Fatigue and fracture mechanics
Structural Health Monitoring Techniques
Advanced machining processes and optimization
Fluid Dynamics and Turbulent Flows
Food Chemistry and Fat Analysis
Sustainable Development Goals
9INDUSTRY, INNOVATION AND INFRASTRUCTURE
3
Research Products
Documents
5
Citations
18
h-index
2
Documents
6
Citations
17
Publication Collaboration
| Affiliation Name | Count |
|---|---|
| Konya Technical University | 8 |
| Selçuk University | 1 |
| Konya Food and Agriculture University | 1 |
| Malatya Devlet Hastanesi | 1 |
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Data obtained from OpenAlex
| Journal | Count |
|---|---|
| Academic Platform journal of engineering and smart systems (Online) | 1 |
| Food Biophysics | 1 |
| Global Perspectives on Robotics and Autonomous Systems: Development and Applications | 1 |
| Journal of Food Engineering | 1 |
| Journal of Materials and Mechatronics:A (Online) | 1 |
Current Page: 1 / 2
Scholarly Output
11
Articles
8
Views / Downloads
28/89
Supervised MSc Theses
1
Supervised PhD Theses
0
WoS Citation Count
15
Scopus Citation Count
18
Patents
0
Projects
0
WoS Citations per Publication
1.36
Scopus Citations per Publication
1.64
Open Access Source
6
Supervised Theses
1
Scopus Quartile Distribution
Competency Cloud
