Formulation Optimization of Friction Material with Golden Section Approach

Cai, Peng; Wang, Tingmei; Wang, Qihua

doi:10.1080/10402004.2015.1055528

Cited by 16 publications

(8 citation statements)

References 20 publications

(1 reference statement)

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“…The formulations of PTFE composites are listed in Table 1 and obtained with our previous method [25][26][27][28].…”

Section: Materials and Preparationmentioning

confidence: 99%

The effect of different layered materials on the tribological properties of PTFE composites

Song

Duan

et al. 2019

Friction

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Two-dimensional (2D) lamellar materials have unique molecular structures and mechanical properties, among which molybdenum disulfide (MoS 2) and graphitic carbon nitride (g-C 3 N 4) with different interaction forces served as reinforcing phase for polytetrafluoroethylene (PTFE) composites in the present study. Thermal stability, tribological and thermomechanical properties of composites were comprehensively investigated. It was demonstrated that g-C 3 N 4 improved elastic deformation resistance and thermal degradation characteristics. The addition of g-C 3 N 4 significantly enhanced anti-wear performance under different loads and speeds. The results indicated that PTFE composites reinforced by g-C 3 N 4 were provided with better properties because the bonding strength of g-C 3 N 4 derived from hydrogen bonds (H-bonds) was stronger than that of MoS 2 with van der Waals force. Consequently, g-C 3 N 4 exhibited better thermomechanical and tribological properties. The result of this work is expected to provide a new kind of functional filler for enhancing the tribological properties of polymer composites.

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“…The formulations of PTFE composites are listed in Table 1 and obtained with our previous method [25][26][27][28].…”

Section: Materials and Preparationmentioning

confidence: 99%

The effect of different layered materials on the tribological properties of PTFE composites

Song

Duan

et al. 2019

Friction

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“…The golden section [7] method is widely used in optimization calculation with the fast convergence speed. Its basic idea is:…”

Section: The Approachmentioning

confidence: 99%

Application of Parallel Computing to Obtain all Real Solutions of a High Degree Univariate Polynomial Equation

Wang¹

2016

Proceedings of the 2016 3rd International Conference on Management, Education Technology and Sports Science (METSS 2016)

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Solving the high order equation to get the complex roots is of great importance for analysis and synthesis of the engineering projects. A few methods, such as the Optimal Trinomial Factor method and the Splitting Trinomial Factor method, can be used to solve these equations. However, these methods may not converge. In addition, as they have computing residuals optimizing a trinomial factor of the algebra equation, it has an influence on the accuracy of the calculation. To solve the shortcomings of the traditional method, a parallel method for solving the complex roots of a high order equation is proposed, which has combined the genetic algorithm and parallel computing. This method uses its strong global convergence and better optimization ability. In determining the appropriate initial population and scale, the method can be used to obtain all the complex roots quickly and efficiently. The results of numerical experiments show the validity and convergence of the proposed method, and obtain the full number of roots of the equation to ensure the accuracy of the calculation results.

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“…It is thus revealed that the composition of friction materials and their evaluation at different testing conditions would become crucial for different brake pad applications. The past researchers [12,13] also endeavored to optimize the compositions of brake pad friction materials.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Process Parameters for Friction Materials Using Multi-Criteria Decision Making: A Comparative Analysis

Shinde¹,

Öktem

Kalita

et al. 2021

Processes

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Friction materials, mainly made of reinforced composites, should possess excellent physical and tribological properties, such as a higher coefficient of friction, minimum wear, adequate surface hardness, and higher porosity for various automotive brake applications. Attainment of those properties greatly depends on the settings of different input parameters, such as molding pressure, temperature and time, temperature and time of heat treatment/sintering, etc., during the processing of friction materials. In this article, four multi-criteria decision-making (MCDM) tools, i.e., technique for order of preference by similarity to ideal solution (TOPSIS), evaluation based on distance from average solution (EDAS), VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), and multi-objective optimization on the basis of ratio analysis (MOORA) are applied to identify the optimal parametric combinations for two different friction materials. A comparative analysis of the derived results suggests the same optimal parametric mixes for all the MCDM techniques for both case studies. Thus, for the considered case studies, the optimal parametric combinations as molding time = 8 min, molding temperature = 175 °C, molding pressure = 27 MPa, sintering time = 10 h and sintering temperature = 225 °C, and molding pressure = 27.90 MPa, molding temperature = 170 °C, curing time = 8 min, and heat treatment time = 1 h, respectively, would help in attaining the most desired properties of friction materials. Improvements in the predicted response values prove the efficacy of the adopted MCDM techniques in determining the optimal combinations of various process parameters for friction materials.

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Formulation Optimization of Friction Material with Golden Section Approach

Cited by 16 publications

References 20 publications

The effect of different layered materials on the tribological properties of PTFE composites

The effect of different layered materials on the tribological properties of PTFE composites

Application of Parallel Computing to Obtain all Real Solutions of a High Degree Univariate Polynomial Equation

Optimization of Process Parameters for Friction Materials Using Multi-Criteria Decision Making: A Comparative Analysis

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