İsmail Şahin

ORCID: 0000-0001-8566-3433
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About
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Research Areas
  • Additive Manufacturing and 3D Printing Technologies
  • Mobile Learning in Education
  • Gear and Bearing Dynamics Analysis
  • Open Education and E-Learning
  • Manufacturing Process and Optimization
  • Advanced Manufacturing and Logistics Optimization
  • Ergonomics and Musculoskeletal Disorders
  • Innovations in Concrete and Construction Materials
  • Education and Learning Interventions
  • Bone Tissue Engineering Materials
  • Gender and Technology in Education
  • Tribology and Lubrication Engineering
  • Robotic Path Planning Algorithms
  • Advanced Multi-Objective Optimization Algorithms
  • Ergonomics and Human Factors
  • Metaheuristic Optimization Algorithms Research
  • Smart Materials for Construction
  • Advanced Theoretical and Applied Studies in Material Sciences and Geometry
  • Educational Methods and Analysis
  • Advanced ceramic materials synthesis
  • Design Education and Practice
  • Tactile and Sensory Interactions
  • Color perception and design
  • 3D Printing in Biomedical Research
  • Advanced Sensor and Energy Harvesting Materials

Gazi University
2014-2024

Gazi Hastanesi
2012-2024

Eskisehir Technical University
2020

Anadolu University
2018

Eskişehir City Hospital
2018

Necmettin Erbakan University
2015

Iowa State University
2006

Additive Manufacturing (AM) has emerged as an important digital technology in improving production efficiency by analysing possible environmental impacts of the operations. Therefore, this study aims to investigate redesigned products for transition AM on sustainable processes. In study, industrial-scale product was according principles and manufactured using Fused Deposition Modelling (FDM) technique. The methods were evaluated terms material consumption carbon dioxide (CO2) emissions Life...

10.1080/00207543.2022.2152895 article EN International Journal of Production Research 2022-12-08

The weight of gears is an important issue for high performance the machine elements. Thus, design gear pairs with respect to minimum and attractive subject study. Various analytical heuristic approaches were utilized optimize in previous studies. In this study, problem optimization as per was solved Grey Wolf Optimizer (GWO). GWO a meta-heuristic method that stands out its successful engineering applications. investigated case constituting spur first time. Compared studies, results obtained...

10.1080/0305215x.2018.1509963 article EN Engineering Optimization 2018-08-30

In this experimental study, composite samples containing silicon are produced with powder metallurgy technique by sintering under argon atmosphere. The effect of cutting speeds, feed rates and different tool types on forces surface roughness investigated in the face milling operation carbide particle reinforced aluminium metal matrix composites. Machining operations conducted using coated uncoated tools. Main force (Fx) (Ra) measured for at four speeds (300, 350, 400 450 m/min) three (0.1,...

10.5897/sre10.496 article EN cc-by Scientific Research and Essays 2011-05-31

In this study, a mobile learning adoption scale (MLAS) was developed on the basis of Rogers’ (2003) Diffusion Innovations Theory. The that consists four sections. These sections are as follows: Stages in innovation-decision process, Types m-learning decision, Innovativeness level and attributes m-learning. There is one question at classification regarding investigated characteristics participants first three scale. last section composed 18 items 5 sub-dimensions 7-item Likert type. MLAS...

10.18404/ijemst.65217 article EN International Journal of Education in Mathematics Science and Technology 2014-10-01

The design of gears with a minimum weight is an optimization problem that has been widely discussed in the literature. Various recent metaheuristic methods, along conventional have produced successful results for problems. In this study, comprehensive investigation was conducted into solution spur gear methods. artificial algae algorithm, bee colony and whale algorithm were applied to first time. grey wolf optimizer particle swarm also applied. compared performance genetic simulating...

10.1080/0305215x.2019.1634702 article EN Engineering Optimization 2019-07-17

This study aims to investigate the mechanical properties of Functionally Graded Lattice Structures (FGLSs) and determine their industrial application possibilities through additive manufacturing. For this purpose, lattice structures with uniform horizontal, vertical radially graded configurations are designed using auxetic unit cells were fabricated RGD720 photopolymer resin Material Jetting. FGLSs compared in regards deformation behavior, structural strength energy absorption. The results...

10.3390/app132111667 article EN cc-by Applied Sciences 2023-10-25

The need for precise mechanical and tribological properties of the hydrostatic bearings has made them an interesting study topic optimisation studies. In this paper, power-loss minimization problems thrust were solved through Grey Wolf Optimizer (GWO). is a meta-heuristic optimization method standing out with its successful applications in engineering design problems. Power-loss problem was applied on (GWO) first time. results obtained evaluated together previous studies conducted detailed...

10.5755/j01.mech.25.6.22512 article EN cc-by Mechanika 2019-12-04

In this study, a detailed research was carried out to solve the two-stage planetary gearbox design optimization problem by using nature-inspired methods. Seven different meta-heuristic optimizers were applied minimize volume of gear. The recent optimizers, Grey Wolf Optimizer, Artificial Bee Colony, Multi-verse Cuckoo Search, Whale Optimization Algorithm and Salp Swarm methods for first time. optimal values obtained with seven are much better than best known in literature. fitness value is 30%

10.1177/09544062231196068 article EN Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science 2023-10-24

Abstract Digital Light Processing (DLP) techniques are being increasingly investigated to create advanced composite materials with improved properties by incorporating a variety of nanoparticles. In this study, the mechanical and electrical photopolymer nanocomposite reinforced carbon‐based nanoparticles produced DLP were investigated. The nanocomposites varying proportions Multi‐Walled Carbon Nanotubes (MWCNT), reduced Graphene Oxide (rGO), combinations Black (CB/CNT) into matrix. assessed...

10.1002/pc.29271 article EN Polymer Composites 2024-11-18

ÖZET

10.17341/gummfd.82690 article TR Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 2014-03-27

Abstract Wear characteristics of composites, Al matrix reinforced with B 4 C particles percentages 5, 10,15 and 20 produced by the powder metallurgy method were studied in this study. For purpose, a mixture powders pressed under 650 MPa pressure then sintered at 635 °C. The analysis hardness, density microstructure was performed. samples worn using pin-on-disk abrasion device 10, 30 N load through 500, 800 1200 mesh SiC abrasive papers. obtained wear values implemented an artificial neural...

10.3139/120.111028 article EN Materials Testing 2017-04-29
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