Search

Your search keyword '"Gohari, Soheil"' showing total 65 results
Start Over Author "Gohari, Soheil"
65 results on '"Gohari, Soheil"'

51. Computational inteligence in optimization of machining operation parameters of ST-37 steel

Author

Golshan, Abolfazl, Ghodsiyeh, Danial, Gohari, Soheil, Ayob, Amran, Baharudin, B. T. Hang Tuah, Golshan, Abolfazl, Ghodsiyeh, Danial, Gohari, Soheil, Ayob, Amran, and Baharudin, B. T. Hang Tuah

Abstract

Optimal selection of cutting parameters is one of the significant issues in achieving high quality machining. In this study, a method for the selection of optimal cutting parameters during lathe operation is presented. The present study focuses on multiple-performance optimization on machining characteristics of St-37 steel. The cutting parameters used in this experimental study include cutting speed, feed rate, depth of cut and rake angle. Two output parameters, namely, surface roughness and tool life are considered as process performance. A statistical model based on linear polynomial equations is developed to describe different responses. For optimal conditions, the Non-dominated Sorting Genetic Algorithm (NSGA) is employed in achieving appropriate models. The optimization procedure shows that the proposed method has a high performance in problem-solving.

Published
2013

64. Optimization of Pre-Treatment Parameters before Diamond Coating Using Non-Dominated Sorting Genetic Algorithm (NSGA-II)

Author

Golsha, Abolfazl, Shirdar, Mostafa Rezazadeh, Gohari, Soheil, and Alvansazyazdi, Mohammadfarid

Abstract

In this study a single step of the chemical pre-treatment is implemented to tungsten carbide (WC 6 [%]) at the surface of the substrate in order to solve poor adhesion problem. During the pre-treatment process, numerous parameters such as etching time, acid temperature and concentration affect on the surface roughness and Cobalt content of WC-Co substrate are investigated. Optimal selection of these parameters is one of the significant issues to achieve high-quality work-piece in etching process. Thus, the statistical model based on nonlinear polynomial equations is developed for the different responses. Non-dominated Sorting Genetic Algorithm (NSGA-II) with the use of MATLAB Software codes is used to solve multi-objective optimization problem in order to provide a preferred solution for a process engineer in a short period of time.

Published
2012
Full Text
View/download PDF

65. Novel Mechanical Failure Assessment and Shape Control Methods for Smart Laminated Composite Structures

Author

Gohari, Soheil

Subjects
0913 Mechanical Engineering, College of Science and Engineering, composite laminates, piezoelectric materials, fibre reinforced, mathematical modelling, models, thesis by publication
Abstract

Laminated composite structures are now commonly adopted in mechanical applications requiring high stiffness-to-weight and strength-to-weight ratios. One of the main disadvantages of using laminated composite members is the difficulty of inspecting their critical-to-failure regions when undergoing critical loads. Piezoelectric materials as sensors and actuators have transformed conventional laminated composite structures into smart-intelligent ones. For instance, piezoelectric sensors can be used to assess the critical mechanical deformation while piezoelectric actuators can be used to induce the stiffness in laminated composite structures. Comprehensive analytical and numerical solutions for the mechanical failure and shape control analysis of smart laminated composite structures under complex loads still remain unavailable. This thesis presents a systematic development of novel analytical and numerical models for the mechanical failure and shape control of laminated composite structures integrated with piezoelectric sensors and actuators.

Published
2017

Catalog

Books, media, physical & digital resources
See catalog results