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Related Concept Videos

Design Consideration01:22

Design Consideration

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Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
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Experimental Designs01:16

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An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
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Design Example: Managing Concrete Workability01:14

Design Example: Managing Concrete Workability

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This example deals with managing the workability of concrete for a raft foundation project under hot weather conditions. Workability is crucial for ensuring the concrete is easy to place, compact, and finish. In this scenario, a slump test — a common method to measure the workability of fresh concrete — initially indicated low workability. This was attributed to the rapid water loss from the concrete mix, exacerbated by the high temperatures causing the course aggregates to heat up.
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Design Example: Designing Water Slide01:18

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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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A novel integrated MADM method for design concept evaluation.

Zhe Chen1,2, Peisi Zhong3, Mei Liu4

  • 1Advanced Manufacturing Technology Centre, Shandong University of Science and Technology, Qingdao, China.

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|September 23, 2022
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Summary
This summary is machine-generated.

This study introduces an improved rough-TOPSIS method to enhance design concept evaluation accuracy. The new approach effectively reduces imprecision by clustering experts and refining data collection for better new product development.

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Area of Science:

  • Engineering
  • Decision Science

Background:

  • Design concept evaluation is crucial for new product development.
  • Rough set methods are effective for vague and uncertain decision-making environments.

Purpose of the Study:

  • To reduce imprecision in design concept evaluation.
  • To propose an improved rough-TOPSIS method for product development.

Main Methods:

  • Classified expert groups (designers, manufacturers, customers) and determined cluster weights using Multiplicative Analytic Hierarchy Process.
  • Improved information collection with a 3-step process, integrating design values and linguistic preferences into a rough decision matrix.
  • Ranked alternatives using a rough-TOPSIS method with entropy criteria weight.

Main Results:

  • Demonstrated the method's viability through a practical example.
  • The proposed decision-making process effectively evaluates product concepts.

Conclusions:

  • The improved rough-TOPSIS method enhances accuracy in design concept evaluation.
  • This approach supports more robust new product development processes.