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Materials Testing-Materials and Components Technology and Application
Walter de Gruyter
About: Materials Testing-Materials and Components Technology and Application is an academic journal. The journal publishes majorly in the area(s): Welding & Microstructure. Over the lifetime, 2344 publications have been published receiving 8115 citations.
Papers published on a yearly basis
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TL;DR: This research is the first application of the Cuckoo Search Algorithm to the shape design optimization problems in the literature, and results show the ability of the CS to find better optimal structural design.
Abstract: In order to meet today's vehicle design requirements and to improve the cost and fuel efficiency, there is an increasing interest to design light-weight and cost-effective vehicle components. In this research, a new optimization algorithm, called the Cuckoo Search Algorithm (CS) algorithm, is introduced for solving structural design optimization problems. This research is the first application of the CS to the shape design optimization problems in the literature. The CS algorithm is applied to the structural design optimization of a vehicle component to illustrate how the present approach can be applied for solving structural design problems. Results show the ability of the CS to find better optimal structural design.
161 citations
TL;DR: Hard ceramic particle reinforced aluminum matrix composites (AMCs) are considered a distinct category of advanced materials which command outstanding strength, good corrosion resistance an... as mentioned in this paper, and good lifetime.
Abstract: Hard ceramic particle reinforced aluminum matrix composites (AMCs) are considered a distinct category of advanced materials which command outstanding strength, good corrosion resistance an...
145 citations
TL;DR: The results demonstrate that the grey wolf, whale, water cycle, ant lion and sine-cosine algorithms are very important options in optimizing design and manufacturing optimization problems.
Abstract: The product design process has a very important effect on product costs. It aims to develop products that are able to compete by achieving an optimum design in the product design process. This research presents the first application in the literature of the grey wolf, whale, water cycle, ant lion and sine-cosine optimization algorithms for the optimum design of vehicle components. In this study, the optimal structural model of a vehicle connecting rod was determined. In the optimization process, various design alternatives were created by using the latin hypercube method. Stress analysis was performed for each of these designs. According to the generated responses, equations for objective and constraint functions were obtained. The optimization problem was solved using the above mentioned algorithms which have been newly developed in the literature, resulting in optimum connection rod design. The results demonstrate that the grey wolf, whale, water cycle, ant lion and sine-cosine algorithms are v...
138 citations
TL;DR: In this article, an aluminum alloy AA7178 was reinforced with three different weight fractions (3, 6 and 9 wt.-%) of titanium diboride (TiB2) particles which were efficacious.
Abstract: In the present investigation, an aluminum alloy AA7178 was reinforced with three different weight fractions (3, 6 and 9 wt.-%) of titanium diboride (TiB2) particles which were efficaciousl...
123 citations
TL;DR: In this paper, a moth-flame optimization algorithm (MFO) is presented for solving optimization problems in manufacturing industry and the main aim is to maximize the profit rate for multi-tool milling operations considering difficult constraints.
Abstract: In this research, a newly developed moth-flame optimization algorithm (MFO) is presented for solving optimization problems in manufacturing industry. A well-known milling optimization problem is solved to emphasize the effectiveness of the MFO in the optimization of manufacturing problems. In the optimization problem solved in this paper, the main aim is to maximize the profit rate for multi-tool milling operations considering difficult constraints. The results demonstrate that the MFO is an effective optimization method for the solution of manufacturing optimization problems.
116 citations