Study on sensitivity analysis of tooth surface roughness parameters and contact stress

CHEN, Jiling; Tang, Jinyuan; Yang, Duo

doi:10.1051/jnwpu/20224040883

Cited by 8 publications

(2 citation statements)

References 8 publications

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“…Although they analyzed the relationship between the three and the remanufacturing process, they did not comprehensively construct an accurate mathematical mapping model, which is not conducive to optimizing the remanufacturing process. For the properties of remanufactured products including hardness, tensile strength, bending strength, etc., in an axiomatic design theory, the mathematical model among process parameters and properties can be characterized by a process matrix (AD) [18], whereas sensitivity analysis enables one to analyze the influencing relationship between two variables [19]. Therefore, this method can be used to analyze the correlation between remanufacturing process parameters and remanufacturing carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Design Method for Used Product Remanufacturing Process Based on Multi-Objective Optimization Model

Ke,

Chen,

Gan

et al. 2024

Processes

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The design for the remanufacturing process (DFRP) is a key part of remanufacturing, which directly affects the cost, performance, and carbon emission of used product remanufacturing. However, used parts have various failure forms and defects, which make it hard to rapidly generate the remanufacturing process scheme for simultaneously satisfying remanufacturing requirements regarding cost, performance, and carbon emissions. This causes remanufactured products to lose their energy-saving and emission-reduction benefits. To this end, this paper proposes an integrated design method for the used product remanufacturing process based on the multi-objective optimization model. Firstly, an integrated DFRP framework is constructed, including design information acquisition, the virtual model construction of DFRP solutions, and the multi-objective optimization of the remanufacturing process scheme. Then, the design matrix, sensitivity analysis, and least squares are applied to construct the mapping models between performance, carbon emissions, cost, and remanufacturing process parameters. Meanwhile, a DFRP multi-objective optimization model with performance, carbon emission, and cost as the design objectives is established, and a teaching–learning based adaptive optimization algorithm is employed to solve the optimization model to acquire a DFRP solution satisfying the target information. Finally, the feasibility of the method is verified by the DFRP of the turbine blade as an example. The results show that the optimized remanufacturing process parameters reduce carbon emissions by 11.7% and remanufacturing cost by USD 0.052 compared with the original process parameters, and also improve the tensile strength of the turbine blades, which also indicates that the DFPR method can effectively achieve energy saving and emission reduction and ensure the performance of the remanufactured products. This can greatly reduce the carbon emission credits of the large-scale remanufacturing industry and promote the global industry’s sustainable development; meanwhile, this study is useful for remanufacturing companies and provides remanufacturing process design methodology support.

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Section: Introductionmentioning

confidence: 99%

An Integrated Design Method for Used Product Remanufacturing Process Based on Multi-Objective Optimization Model

Ke,

Chen,

Gan

et al. 2024

Processes

View full text Add to dashboard Cite

show abstract

“…Yet, none of them synergistically consider the impact and mapping of product design on remanufacturability and carbon emissions. The remanufacturability represents the function or product performance, such as easily disassembled, easily recycled, easily processed, etc., and the mathematical relationship between the design parameters and the function can be described by the design matrix in the axiomatic design (AD) theory [20], while sensitivity analysis can analyze the degree of influence between variables and determine the degree of correlation between them [21]; thus, these methods can be used to construct mathematical models between design parameters and remanufacturability and carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Design Method for Remanufacturing Considering Remanufacturability and Carbon Emissions

Peng,

Ke,

Han

2023

Processes

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Design for remanufacturing (DfRem) is to consider the remanufacturability of the product at the design stage, which can improve the remanufacturability of the product. Moreover, the DfRem solution has a significant impact on the carbon emissions of manufacturing processes. Unreasonable design solutions can significantly increase carbon emissions from manufacturing processes. However, there is no direct link between DfRem solutions and remanufacturability as well as manufacturing carbon emissions, which makes it difficult to quickly generate a rational DfRem solution that can enhance product remanufacturability and reduce carbon emissions simultaneously. To this end, this paper proposes an intelligent design method for remanufacturing that considers remanufacturability and manufacturing carbon emissions. First, an intelligent DfRem framework is constructed, which includes information acquisition, virtual model construction of the DfRem solution, and multi-objective optimization of the design solution. Then, the design matrix and sensitivity analysis are used to construct the mapping models between remanufacturability, carbon emissions, and DfRem parameters. Meanwhile, a multi-objective optimization model of DfRem with remanufacturability requirements and carbon emissions as design objectives is constructed, and an adaptive teaching and learning optimization algorithm is applied to solve the optimization model to obtain a DfRem solution that satisfies the objective information. Finally, the feasibility of the method is verified by DfRem of the injection mold as an example.

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A New Numerical Simulation Method for 3D Rough Surface Topography of Shot Peening Parts with Specified 3D Roughness Spatial Parameters

Chen,

Tang,

Shao

et al. 2024

Tribol Lett

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Study on sensitivity analysis of tooth surface roughness parameters and contact stress

Cited by 8 publications

References 8 publications

An Integrated Design Method for Used Product Remanufacturing Process Based on Multi-Objective Optimization Model

An Integrated Design Method for Used Product Remanufacturing Process Based on Multi-Objective Optimization Model

An Intelligent Design Method for Remanufacturing Considering Remanufacturability and Carbon Emissions

A New Numerical Simulation Method for 3D Rough Surface Topography of Shot Peening Parts with Specified 3D Roughness Spatial Parameters

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