A novel approach based on probability theory for material selection

Zheng, Maosheng; Wang, Y.; Teng, Haipeng

doi:10.1002/mawe.202100226

Cited by 15 publications

(24 citation statements)

References 10 publications

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“…In the spirits of suggestion from statisticians that both the arithmetic mean and variance of a response should take separate models, and the probability -based multiobjective optimization, the process and method of the robust design is regulated as follows [5][6][7][8][9][10][11][12][13][14].…”

Section: Approach Of Robust Design Based On the Probability Methodolo...mentioning

confidence: 99%

“…Recently, a probability -based method for multiobjective optimization (PMOO) was proposed to solve the inherent problems of personal and subjective coefficients in previous multi-objective optimizations [12][13][14]. The new concept of favorable probability was introduced to represent the favorable degree of a performance index in the optimization.…”

Section: Introductionmentioning

confidence: 99%

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Robust design in material machining on basis of probability multi‐objective optimization

Zheng

Teng

Wang

2023

Materialwissenschaft Werkst

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This paper regulates a rational approach of robust design in material machining process on basis of the probability method for multi‐objective optimization. As an expansion, it takes the arithmetic mean value of the performance index of the alternative and its deviation as twin independent responses to make contributions of two parts of the partial favorable probability individually; the arithmetic mean value of the performance index represents the performance index according to its function and preference in the assessment, and the deviation exhibits an index with the characteristic of the smaller the better in general. Furthermore, the product of the above twin parts of partial favorable probability forms the actual favorable probability of the performance index of each alternative in the treatment, which is the unique indicator of the performance index of the alternative in the robust optimum. Moreover, examples are given to illustrate the application of the approach.

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Section: Approach Of Robust Design Based On the Probability Methodolo...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust design in material machining on basis of probability multi‐objective optimization

Zheng

Teng

Wang

2023

Materialwissenschaft Werkst

Self Cite

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“…Optimization of process parameter of high velocity oxy fuel coating produced fine and structured coating with better mechanical and wear resistance [24]. Multi-criteria decision making is an important tool to find the best composition of materials from a number of available alternatives [25][26][27][28].…”

Section: Effect Of Mechanical Properties On Performance Of High Veloc...mentioning

confidence: 99%

Microstructure, mechanical and tribological properties of high velocity oxy fuel thermal spray coating: A review

Sharma

Das

Kumar³

2023

Materialwissenschaft Werkst

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Iron alloy based amorphous coating materials have enormous potential in wide range of applications such as petrochemical, aerospace, ocean, and electronic communications due to their better mechanical properties, chemical properties, magnetic properties and tribological properties. The industrial applications of coating are increasing rapidly due to many advancements in the material development and coating deposition techniques. The present paper reviewed the recent progresses in deposition technologies, development of new high order alloys and composite based coating materials. In this regard, change in microstructure, elemental composition, mechanical and tribological properties on performance of iron alloy based coating properties were presented. It can be concluded that the tribological properties of coating is dependent on pre-coating and post-coating factors. Pre-coating factors include coating deposition techniques, coating layer thickness and coating parameters such as spray distance, oxygen flow rate etc. Post-coating factors include microstructure, hardness, fracture toughness and adhesion strength. Therefore, multi-criteria decision making techniques can be the best approach to find the optimum formulation of coating materials to achieve desired set of objectives under the conflicting criteria.

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“…From the perspective of probability theory, the whole event of "multi-objective simultaneous optimization" corresponds to the product of each single objective (event). As to the problem of multi-objective optimization design of machinery, each objective (attribute) is actually a goal of PMOO [3][4][5]. Furthermore, according to the role and preference of performance of a candidate in the optimization [3][4][5], all the performance and utility indexes of the candidate are preliminarily divided into two categories, i.e., beneficial type and unbeneficial type.…”

Section: Approach Based On the Perspective Of Probability Theorymentioning

confidence: 99%

“…However, in the linear weighting "additive" method, there is intrinsic problem of normalization and introduction of subjective factors, and the final result depends on the normalization method to a great extent [3][4][5]. Different normalization methods may lead to completely different results.…”

Section: Introductionmentioning

confidence: 99%

A probabilistic multi-objective optimization mechanical design

Zheng

2023

J. Umm Al-Qura Univ. Eng.Archit.

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Optimization design of machinery is usually a multi-objective one inevitably. At present, the popular mechanical optimization design is limited by the intrinsic shortcomings of the previous multi-objective optimization methods, which leads to the difficulty of non-comprehensive and nonsystematic optimal solutions in the viewpoint of probability theory. In the linear weighting “additive” method, there is inherent problems of normalization and introduction of subjective factors, and the final results depend on the normalization method to a great extent; the Pareto solution set is a “set” instead of an exact solution. In this paper, the probability—based multi-objective optimization, discretization with uniform design and sequential optimization are combined to establish a new approach of multi-objective optimization mechanical design based on probability theory; the probabilistic multi-objective optimization is used to transform the multi-objective optimization problem into single-objective optimization one from the perspective of probability theory; the discretization by means of uniform design provides an effective sampling to simplify the mathematical processing, which is especially important for dealing with multi-objective optimization problems with continuous objective functions; the sequential optimization algorithm is used to conduct the successive deep optimization. Furthermore, the implementation steps are illustrated with two examples. The results show that the approach can not only give excellent optimization results, but also provide a relatively simple processing.

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A novel approach based on probability theory for material selection

Cited by 15 publications

References 10 publications

Robust design in material machining on basis of probability multi‐objective optimization

Robust design in material machining on basis of probability multi‐objective optimization

Microstructure, mechanical and tribological properties of high velocity oxy fuel thermal spray coating: A review

A probabilistic multi-objective optimization mechanical design

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