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International Conference on Advances in Materials and Manufacturing Processes

作者： Zhang, Jie Li, Sha Qian, Xiaoming Tianjin Polytech Univ Sch Text Tianjin 300160 Peoples R China

ISBN: (纸本)9780878492022

Fiber reinforced composites have been an important way to utilize agriculture plant fibers. Flax fiber is plant fiber and strong, biodegradable, anti-fungi and bacterial. Flax fiber reinforced PP fiberboard is thermoplastic with the advantages of low density, low cost, low energy consumption, and recyclable. The influences of flax / PP fiber blending ratio, molding temperature, molding time on the mechanical properties of flax / PP board were carefully investigated. After mathematical manipulations and experimental validation, it was found that the thermoplastic composite board had maximum tensile and bending strengths when the flax fibers were at 50% of the total weight, the molding temperature was 181 degrees C, and the molding time was 48 minutes.

关键词： Flax / polypropylene fiber composite Hot pressing Strength processing parameter optimization

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A study of multi-quality processing parameter optimization for sueded fabric

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TEXTILE RESEARCH JOURNAL 2017年第4期87卷 389-398页

作者： Kuo, Chung-Feng Jeffrey Lin, Wen-Tsung Natl Taiwan Univ Sci & Technol Dept Mat Sci & Engn 43 Keelung RdSec 4 Taipei 106 Taiwan

Sueded fabric quality control depends on the processing parameter settings. The quality characteristics considered in this study are surface softness and color difference. The Taguchi method was combined with gray relational analysis (GRA) to optimize the multi-quality sueding processing parameter combinations. First, an orthogonal array is designed by using the design of experiments of the Taguchi method for the major processing parameters of the sueding machine. The signal/noise ratio and analysis of variance are calculated from the measured fabric surface softness and color difference data, significant factors influencing the quality characteristics obtained, and GRA used to remedy the deficiency in the Taguchi method, which is only applicable to single-quality characteristics. The optimum processing parameters of multiple-quality characteristics are obtained from the response table and response diagram of GRA. The quality of suede fabric can be controlled effectively by using the optimum processing parameters to set the processing parameters, and the 95% confidence interval validates the reliability and reproducibility of the experiment.

关键词： sueding machine Taguchi quality method gray relational analysis processing parameter optimization

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Study on the effects of the processing parameters on the single tracks and the block support structures fabricated by selective laser melting

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JOURNAL OF LASER APPLICATIONS 2024年第1期36卷 36, 012024-36, 012024页

作者： Zhang, Tao Zhang, Kaifei Chen, Qi Pang, Yuanzhen Chongqing Univ Technol Coll Mech Engn Chongqing 400054 Peoples R China Chongqing Univ Chongqing Key Lab Met Addit Mfg 3D Printing Chongqing 400044 Peoples R China

In order to prevent the deformation of the part, enhance heat conduction, and establish a stable foundation, additional support structures are typically incorporated beneath the parts during the selective laser melting (SLM) process. These structures are subsequently eliminated once the SLM process is completed, thereby facilitating the attainment of near-net forming. Therefore, their SLM processing parameters should be different from those of the solid parts to obtain the desirable functions and removability. However, there is so far very little research focusing on the optimization of the SLM processing parameters of the support structures compared with the solid objects. In this work, the widely used block support was illustrated as an instance, and an optimization strategy of its SLM processing parameters was provided. The effects of laser power, scanning speed, and layer thickness on the morphology and qualities of single track, support sample, and support tensile sample were systematically investigated. The results showed that the SLM processing parameters have a significant impact on the properties of the block support by regulating the qualities of the single tracks. At last, a group of optimal SLM processing parameters (80 W of laser power, 400 mm/s of scanning speed, 60 mu m of layer thickness) was determined for the Ti-6Al-4V titanium alloy, and the corresponding ultimate tensile strength of the support structure reached 416 MPa.

关键词： selective laser melting block support single track processing parameter optimization tensile property

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A multi-objective teaching-learning-based optimization algorithm to scheduling in turning processes for minimizing makespan and carbon footprint

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JOURNAL OF CLEANER PRODUCTION 2015年第Aug.15期101卷 337-347页

作者： Lin, Wenwen Yu, D. Y. Zhang, Chaoyong Liu, Xun Zhang, Sanqiang Tian, Yuhui Liu, Shengqiang Xie, Zhanpeng Huazhong Univ Sci & Technol Sch Mech Sci & Engn Wuhan 430074 Hubei Peoples R China Univ Michigan Dept Mech Engn SMWu Mfg Res Ctr Ann Arbor MI 48109 USA Shan Dong Hoteam Software Co Ltd Jinan Peoples R China China Natl Heavy Duty Truck Grp Co Ltd Jinan Peoples R China

Industry is responsible for nearly half of the global energy consumption. Recent studies on sustainable manufacturing focused on energy saving to reduce the unit production cost and environmental impacts. Besides energy consumption, certain manufacturing activities in machine shops, such as the use of cutting fluids, disposal of worn tools, and material consumption, also cause other environmental impacts. Since all these activities lead to carbon footprint directly or indirectly, carbon footprint can be employed as a new and overall environment criterion in manufacturing. In this study, an integrated model for processing parameter optimization and flow-shop scheduling was developed. Objectives to minimize both makespan and carbon footprint were considered simultaneously, which was solved by a multi-objective teaching learning-based optimization algorithm. Furthermore, three carbon-footprint-reduction strategies were employed to optimize the scheduling results: (i) postponing strategy, (ii) setup strategy, and (iii) processing parameter preliminary optimization strategy. In the theoretical aspect, the strategies greatly improved the performance of the optimization results through reducing machine idle time and cutting down the search space. From the perspective of practical applications, these strategies greatly help elevate production efficiency and reduce environmental impacts. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： processing parameter optimization Flow-shop scheduling Teaching-learning-based optimization Carbon footprint Sustainable manufacturing

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optimization of Lapping and Polishing of Steel Samples for Nanoindentation Based on SVM-GA

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FRONTIERS IN MATERIALS 2022年 9卷

作者： Cheng, Zhichao Wei, Qianfeng Wen, Donghui Zhejiang Univ Technol Coll Mech Engn Hangzhou Peoples R China Zhejiang Univ Technol Key Lab Special Purpose Equipment & Adv Proc Techn Minist Educ & Zhejiang Prov Hangzhou Peoples R China

The nanoindentation test is extensively used to obtain the mechanics performance of different kinds of materials. In this study, the general process in the lapping and polishing of Q235 steel samples for nanoindentation has been analyzed by considering the pressure (P), rotation speed of the lapping and polishing plate (r(p)), flow rate of abrasive slurry (Q(a)), and the processing time (t). It is found from the lapping experiments with a full factorial design that the optimized processing parameters are r(p) of 200 r/min, P of 30 N, and t of 4 min considered in this study by considering the material removal rate and subsurface damage. The central composite design method has been used to design the polishing experiments, and the support vector machine (SVM) method has been used to deal with these experimental results, and it is found that the developed SVM model can accurately predict the surface roughness under different processing parameters. Then, based on the SVM model, the genetic algorithm (GA) method is used to obtain the optimized processing parameters in the polishing process, and it is found from the SVM-GA study that the optimized processing parameters in the lapping process are r(p) of 108 r/min, P of 33 N, Q(a) of 20 ml/min, and t of 3 min. Finally, a set of nanoindentation tests have been conducted to evaluate the lapping and polishing performance, and it is found that the surface integrity has been significantly improved after the optimization of the lapping and polishing parameters by using the SVM-GA method considered in this study.

关键词： lapping and polishing process processing parameter optimization nanoindentation SVM-GA Q235 steel

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Effects of processing parameters on the densification, microstructure and mechanical properties of pure tungsten fabricated by optimized selective laser melting: From single and multiple scan tracks to bulk parts

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INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS 2021年 96卷 105490-105490页

作者： Ren, Xin Liu, Hailin Lu, Fayun Huang, Liming Yi, Xin Peking Univ Coll Engn Beijing Innovat Ctr Engn Sci & Adv Technol Dept Mech & Engn Sci Beijing 100871 Peoples R China

In this study we focus on the manufacturing of pure tungsten materials by selective laser melting (SLM), and systematically investigate how processing parameters affect densification, microstructure, and mechanical properties of fabricated pure tungsten samples. Three key processing parameters are identified, the laser power, scan velocity, and overlap rate. An optimized power-velocity window for single-track scan is determined by characterizing the surface morphologies of tracks on a multi-layer powder bed. Based on that window, varying the hatch distance the overlap rate between adjacent scan tracks for multi-track scan is then optimized by assessing the optical metallographic microstructure. Moreover, bulk pure tungsten samples with size of 10 ? 10 ? 10 mm3 are fabricated with SLM, and their densification and mechanical properties are investigated. Our experimental results show that optimized processing parameters enable manufacturing of bulk pure tungsten samples with a high relative density up to 98.51%. After annealing, an excellent ultimate compressive strength of 1.007 GPa is obtained but with a volumetric energy density significantly lower than reported values in the literature.

关键词： Tungsten Selective laser melting (SLM) Single-and multi-track scan Bulk properties Microstructure characterization processing parameter optimization

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Advances in structural analysis and process monitoring of thermoplastic composite pipes

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HELIYON 2023年第7期9卷 e17918页

作者： Okolie, Obinna Latto, Jim Faisal, Nadimul Jamieson, Harvey Mukherji, Arindam Njuguna, James Robert Gordon Univ Sch Engn Sir Ian Wood Bldg Aberdeen AB10 7GJ Scotland Strohm Bv Monnickendamkade 1 NL-1976 EC Ijmuiden Netherlands Subsea 7 Prospect RdArnhall Business Pk Westhill AB32 6FE Aberdeen Scotland SP Adv Engn Mat Pvt Ltd SP Ctr 41-44 Minoo Desai Marg Mumbai 400005 India Natl Subsea Ctr 3 Int Ave Aberdeen AB21 0BH Scotland

Thermoplastic composite pipes (TCP) in comparison to other pipes have proven beneficial features due to its flexibility which includes being fit for purpose, lightweight and no corrosion. However, during the manufacturing of TCP which involves the consolidation process, certain defects may be induced in it because of certain parameters, and this can affect the performance of the pipe in the long run as the induced defects might lead to in-service defects. Current techniques used in the industry are facing challenges with on-the-spot detection in a continuous manufacturing system. In TCP manufacturing process, the pipe is regularly monitored. When a defect is noticed, the whole process stops, and the appropriate action is taken. However, shutting down the process is costly;hence it is vital to decrease the downtime during manufacturing to the barest minimum. The solutions include optimizing the process for reduction in the manufacturing defects amount and thoroughly understanding the effect of parameters which causes certain defect types in the pipe. This review covers the current state-of-the-art and challenges associated with characterizing the identified manufacturing induced defects in TCP. It discusses and describes all effective consolidation monitoring strategies for early detection of these defects during manufacturing through the application of suitable sensing technology that is compatible with the TCP. It can be deduced that there is a correlation between manufacturing process to the performance of the final part and selection of characterization technique as well as optimizing process parameters.

关键词： Thermoplastic composite pipe Manufacturing defect characterization Real time process monitoring processing parameter optimization Quality control

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