The Experts below are selected from a list of 57 Experts worldwide ranked by ideXlab platform
Yaping Ren - One of the best experts on this subject based on the ideXlab platform.
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Topology optimization of oilstone components considering carbon emissions associated with Honing processes
Journal of Cleaner Production, 2019Co-Authors: Guanghui Zhou, Fu Zhao, Yaping Ren, Xiaona Luan, John W. SutherlandAbstract:Abstract Incorporating carbon emissions consideration into topology optimization can improve the environmental sustainability of machine tools. However, existing studies on combining topology optimization methods with low-carbon technologies for Honing Machines are limited. The study aims at minimizing compliance (i.e., the maximum stiffness) while considering the carbon emissions associated with Honing processes by changing the shape and distribution of abrasive grains on oilstone components, which are the key parts causing carbon emissions in the use stage of Honing Machines. Considering the hierarchical characteristics of the problem, a one-to-many Stackelberg cooperative game model is proposed to describe the decision behavior in each level. The model has two subgames, i.e., a dynamic Stackelberg sub-game to obtain a benefit equilibrium between the upper-level compliance optimization problem and the lower-level carbon emissions optimization problem, and a static cooperative sub-game in the lower level to minimize carbon emissions. A bilevel game theoretic solution method is developed to solve the model. A case study is presented to demonstrate the feasibility of the proposed method. The results indicate that the proposed method can reduce compliance and carbon emissions of the oilstone component by 39.2% and 29.3% compared with a non-optimized oilstone component.
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Determination of Shape and Distribution of Abrasive Grains to Reduce Carbon Emissions of Honing Process
Journal of Manufacturing Science and Engineering-transactions of The Asme, 2018Co-Authors: Guanghui Zhou, Fu Zhao, Yaping RenAbstract:Due to the increasing concern on environmental sustainability, many efforts have been made to improve the energy efficiency and reduce carbon emissions of manufacturing processes, including abrasive machining processes. Oilstones, as the abrasive tool of Honing Machines, are the key parts to remove material. However, the theoretical models and methods that can be used to support the selection of oilstone parameters for reduced carbon emissions are lacking. To fill this gap, this paper proposes a method to optimize shape and distribution of abrasive grains for minimized carbon emissions while maintaining surface quality. First, the carbon emissions boundary is defined, and a carbon emissions calculation model is established from a macroperspective. As each grain contributes to the total carbon emissions, the behavior of grains during Honing is then described and analyzed to obtain the carbon emissions model from a microperspective. Surface area of oilstones and the required total volume of material removal are kept constant to meet the physical size limit of oilstones and machining requirement of workpiece. Third, a shape and distribution optimization model is developed to minimize carbon emissions. A modified particle swarm optimization (PSO) algorithm is adopted to solve this problem. Finally, the proposed method is applied to a case study to validate its effectiveness. Results show that carbon emissions can be reduced by up to 30% using the proposed model. The proposed method provides a new green manufacturing strategy for the Honing process and a possibility to customize abrasive tools to meet the environmental challenges.
Guanghui Zhou - One of the best experts on this subject based on the ideXlab platform.
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Topology optimization of oilstone components considering carbon emissions associated with Honing processes
Journal of Cleaner Production, 2019Co-Authors: Guanghui Zhou, Fu Zhao, Yaping Ren, Xiaona Luan, John W. SutherlandAbstract:Abstract Incorporating carbon emissions consideration into topology optimization can improve the environmental sustainability of machine tools. However, existing studies on combining topology optimization methods with low-carbon technologies for Honing Machines are limited. The study aims at minimizing compliance (i.e., the maximum stiffness) while considering the carbon emissions associated with Honing processes by changing the shape and distribution of abrasive grains on oilstone components, which are the key parts causing carbon emissions in the use stage of Honing Machines. Considering the hierarchical characteristics of the problem, a one-to-many Stackelberg cooperative game model is proposed to describe the decision behavior in each level. The model has two subgames, i.e., a dynamic Stackelberg sub-game to obtain a benefit equilibrium between the upper-level compliance optimization problem and the lower-level carbon emissions optimization problem, and a static cooperative sub-game in the lower level to minimize carbon emissions. A bilevel game theoretic solution method is developed to solve the model. A case study is presented to demonstrate the feasibility of the proposed method. The results indicate that the proposed method can reduce compliance and carbon emissions of the oilstone component by 39.2% and 29.3% compared with a non-optimized oilstone component.
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Determination of Shape and Distribution of Abrasive Grains to Reduce Carbon Emissions of Honing Process
Journal of Manufacturing Science and Engineering-transactions of The Asme, 2018Co-Authors: Guanghui Zhou, Fu Zhao, Yaping RenAbstract:Due to the increasing concern on environmental sustainability, many efforts have been made to improve the energy efficiency and reduce carbon emissions of manufacturing processes, including abrasive machining processes. Oilstones, as the abrasive tool of Honing Machines, are the key parts to remove material. However, the theoretical models and methods that can be used to support the selection of oilstone parameters for reduced carbon emissions are lacking. To fill this gap, this paper proposes a method to optimize shape and distribution of abrasive grains for minimized carbon emissions while maintaining surface quality. First, the carbon emissions boundary is defined, and a carbon emissions calculation model is established from a macroperspective. As each grain contributes to the total carbon emissions, the behavior of grains during Honing is then described and analyzed to obtain the carbon emissions model from a microperspective. Surface area of oilstones and the required total volume of material removal are kept constant to meet the physical size limit of oilstones and machining requirement of workpiece. Third, a shape and distribution optimization model is developed to minimize carbon emissions. A modified particle swarm optimization (PSO) algorithm is adopted to solve this problem. Finally, the proposed method is applied to a case study to validate its effectiveness. Results show that carbon emissions can be reduced by up to 30% using the proposed model. The proposed method provides a new green manufacturing strategy for the Honing process and a possibility to customize abrasive tools to meet the environmental challenges.
R. A. Muratov - One of the best experts on this subject based on the ideXlab platform.
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Kinematic potential of Honing Machines
Russian Engineering Research, 2011Co-Authors: A. M. Khanov, K. R. Muratov, E. A. Gashev, R. A. MuratovAbstract:The operational properties of machine parts largely depend on fluctuations of the machined surface's geometry and microrelief (parameters such as the roughness, the distribution of the spacing between microprojections, and the orientation of the machin� ing tracks). In Honing, one of the key factors in forming the required surface macroand microrelief is the tool's working trajectory. In most existing Honing Machines, the tool performs rotation and reciprocating motion; correspondingly, the tool trajectory is a grid of inter� secting helical lines. Such kinematics represents a challenge in terms of effective control. In the present work, we consider a Honing machine with complex tool motion, which is used to finish pre� cision holes in components of hydraulic systems and fuel systems. In contrast to Honing Machines with tra� ditional kinematics, this machine is capable of various Honing methods characterized by complex trajectories and precisely controllable parameters. The machine's kinematic system (Fig. 1) consists of a rotary spindle drive with oscillatory mechanisms and a drive ensuring reciprocating tool motion along the axis of the machined part.
Jia Li Zhao - One of the best experts on this subject based on the ideXlab platform.
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On the Basis of Double Fuzzy Control of Honing Machine Reciprocating Motion
Applied Mechanics and Materials, 2012Co-Authors: Ya Zhou Wang, Jia Li Zhao, Shan Shan Chen, Jun GongAbstract:This paper mainly researches the control system of Honing machine spindle reciprocating motion. On the basis of brief introduction to the processing of Honing Machines, its mathematic models were established, and design the double control system on the base of fuzzy control .Two fuzzy controllers were used separately according to actual error signal of the system output to improve the system rapidity and overshot .so that make the designed control system of Honing Machines spindle reciprocating motion can satisfy the design requirements better. Finally the control system was conducted by using the tool of MATLAB. The simulation result showed that the double fuzzy controller can effectively reduce steady-state error of the system and overshoots can well satisfied the system performance index, and has some quick response ability.
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A Feeding System Control of NC Honing Machines Based on Fuzzy Neural Network
Advanced Materials Research, 2011Co-Authors: Jia Li Zhao, Zhen Ju Sun, Ning Du YangAbstract:The principle of feeding system for NC Honing Machines is described and the mathematical model of hydraulic feeding system is built in this paper.A fuzzy netural network(FNN) with BP feedback is suggested,which is applied to improve the self-learning ability and dynamic performance of the feeding system. Simulation results are given and performance comparisons with fuzzy control are conducted,highlighting the modeling characteristics of FNN as a controlling method and an effectiveness for feeding system to control the feeding system.
Fu Zhao - One of the best experts on this subject based on the ideXlab platform.
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Topology optimization of oilstone components considering carbon emissions associated with Honing processes
Journal of Cleaner Production, 2019Co-Authors: Guanghui Zhou, Fu Zhao, Yaping Ren, Xiaona Luan, John W. SutherlandAbstract:Abstract Incorporating carbon emissions consideration into topology optimization can improve the environmental sustainability of machine tools. However, existing studies on combining topology optimization methods with low-carbon technologies for Honing Machines are limited. The study aims at minimizing compliance (i.e., the maximum stiffness) while considering the carbon emissions associated with Honing processes by changing the shape and distribution of abrasive grains on oilstone components, which are the key parts causing carbon emissions in the use stage of Honing Machines. Considering the hierarchical characteristics of the problem, a one-to-many Stackelberg cooperative game model is proposed to describe the decision behavior in each level. The model has two subgames, i.e., a dynamic Stackelberg sub-game to obtain a benefit equilibrium between the upper-level compliance optimization problem and the lower-level carbon emissions optimization problem, and a static cooperative sub-game in the lower level to minimize carbon emissions. A bilevel game theoretic solution method is developed to solve the model. A case study is presented to demonstrate the feasibility of the proposed method. The results indicate that the proposed method can reduce compliance and carbon emissions of the oilstone component by 39.2% and 29.3% compared with a non-optimized oilstone component.
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Determination of Shape and Distribution of Abrasive Grains to Reduce Carbon Emissions of Honing Process
Journal of Manufacturing Science and Engineering-transactions of The Asme, 2018Co-Authors: Guanghui Zhou, Fu Zhao, Yaping RenAbstract:Due to the increasing concern on environmental sustainability, many efforts have been made to improve the energy efficiency and reduce carbon emissions of manufacturing processes, including abrasive machining processes. Oilstones, as the abrasive tool of Honing Machines, are the key parts to remove material. However, the theoretical models and methods that can be used to support the selection of oilstone parameters for reduced carbon emissions are lacking. To fill this gap, this paper proposes a method to optimize shape and distribution of abrasive grains for minimized carbon emissions while maintaining surface quality. First, the carbon emissions boundary is defined, and a carbon emissions calculation model is established from a macroperspective. As each grain contributes to the total carbon emissions, the behavior of grains during Honing is then described and analyzed to obtain the carbon emissions model from a microperspective. Surface area of oilstones and the required total volume of material removal are kept constant to meet the physical size limit of oilstones and machining requirement of workpiece. Third, a shape and distribution optimization model is developed to minimize carbon emissions. A modified particle swarm optimization (PSO) algorithm is adopted to solve this problem. Finally, the proposed method is applied to a case study to validate its effectiveness. Results show that carbon emissions can be reduced by up to 30% using the proposed model. The proposed method provides a new green manufacturing strategy for the Honing process and a possibility to customize abrasive tools to meet the environmental challenges.