To capture the far-ranging effects of materials selection, models are presented which forecast the costs of development, manufacture, and assembly.
This approach, called Integral Aided Material Selection (IAMS), can overcome the main lack of traditional material selection model and provide a real support tool to the project team.
A shape and material selection model has been previously introduced to characterize the structural efficiency of a slender beam under pure bending.
This paper proposes a building material selection model based on the fuzzy extended analytical hierarchy process (FEAHP) techniques, with a view to providing solutions for these two issues.
The new integrated product materials selection (IPMS) model presented incorporates factors such as fashion, market trends, cultural aspects, aesthetics and recycling, as well as the target group.
The students drew on several engineering processes and techniques while completing the project, including initial sketching and CAD modeling, materials selection, machine elements, and motor control.
In this paper, the principles for materials selection are presented as a model with different steps from definition of functions to the feedback from the delivered product.
Hafezalkotob and Hafezalkotob (2016a) inserted the objective significance coefficients based on Shannon entropy in an extended MULTIMOORA model for materials selection.
Shanian et al. (2008) utilized a revised Simos' method with the elimination and choice expressing the reality (ELECTRE) technique to make a decision-making model for a materials selection problem relating to a non-heat-treatable cylindrical thermal loaded conductor cover sheet.
Quantitative requirements in the optimal selection model for repair material were divided into two parts, namely, the required chemical performance and the required physical performance.
