A model for productivity improvement on machining of components for stamping dies

IF 0.6 Q4 ENGINEERING, INDUSTRIAL

Industrial Engineering and Management Systems Pub Date : 2021-06-30 DOI:10.24867/IJIEM-2021-2-279

João Pedro Martins da Silva, F. Silva, R. Campilho, J. C. Sá, L. P. Ferreira

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引用次数: 3

Abstract

[1] Schützer, K., Helleno, A. L., Pereira, S. C., “The influence of the manufacturing strategy on the production of molds and dies”, Journal of Materials Processing Technology, Vol. 179(1-3), pp. 172-177, 2006. [2] Dalavi, A. M., Pawar, P. J., Singh, T. P., Warke, A. S., Paliwal, P. D., “Review on Optimization of Hole-Making Operations for Injection Mould Using Non-Traditional Algorithms”, International Journal of Industrial Engineering and Management, Vol. 7(1), pp. 9-14, 2016. [3] Castro, T. A. M., Silva, F. J. G. and Campilho, R. D. S. G., “Optimising a specific tool for electrical terminals crimping process”, Procedia Manufacturing, Vol. 11, pp. 1438-1447, 2017. [4] Yun, S., Kwon, J., Cho, W., Lee, D. C. and Kim, Y., “Performance improvement of hot stamping die for patchwork blank using mixed cooling channel designs with straight and conformal channels”, Applied Thermal Engineering, Vol. 165, 114562, 2020. [5] Maeno, T., Mori, K.-I. and Fujimoto, M., “Improvements in productivity and formability by water and die quenching in hot stamping of ultra-high strength steel parts”, CIRP Annals, Vol. 64, No. 1, pp. 281-284, 2015. [6] Otsuka, A., Miyoshi, N., Nagata, F., “Generation method of skin model shapes with features of machining marks using dual-tree complex wavelet transform”, Procedia CIRP, Vol. 92, pp. 224-229, 2020. [7] Tapie, L., Mawussi, B., Bernard, A., “Topological model for machining of parts with complex shapes”, Computers in Industry, Vol. 63(5), pp. 528-541, 2012. [8] Silva, C. R. M., Silva, F. J. G. and Gouveia, R. M., “Investigations on the edge crack defectsin dual phase steel stamping process”, Procedia Manufacturing, Vol.17, pp. 737-745, 2018. [9] Béres, G., Lukács, Z., Tisza, M., “Springback Evaluation of Tailor Welded Blanks at V-die Bending made of DP Steels”, Procedia Manufacturing, Vol. 47, pp. 1366-1373, 2020. [10] Gomes, T., Silva, F. J. G., Campilho and R. D. G. S., “Reducing the simulation cost on dual-phase steel stamping process”, Procedia Manufacturing, Vol. 11, pp. 474-481, 2017. [11] Fernandes L., Silva, F.J.G., Andrade, M.F., Alexandre, R., Baptista, A.P.M. and Rodrigues, C., “Increasing the stamping tools lifespan by using Mo and B4C PVD coatings”, Surface and Coatings Technology, Vol. 325, pp. 107-119, 2017. [12] Fernandes, L., Silva, F.J.G., Paiva, O. C., Baptista, A. and Pinto, G., “Minimizing the adhesion effects in food package forming by the use of advanced coatings”, Procedia Manufacturing, Vol. 17, pp. 886-894, 2018. [13] Fernandes, L., Silva, F. J. G. and Alexandre, R., “Study of TiAlN PVD Coating on stamping dies used in tinplate food package production”, Micromachines, Vol. 10, No. 3, pp. 182-198, 2019. [14] Nunes, V., Silva, F.J.G., Andrade, M.F., Alexandre, R. and Baptista, A.P.M., “Increasing the lifespan of high-pressure die cast molds subjected to severe wear”, Surface and Coatings Technology, Vol. 332, pp. 319-331, 2017. [15] Silva, F., Martinho, R., Andrade, M., Baptista, A. and Alexandre, R., “Improving the wear resistance of moulds for the injection of glass fibre–reinforced plastics using PVD coatings: a comparative study”, Coatings, Vol. 7, No. 2, pp. 28-39, 2017. [16] Martinho, R. P., Silva, F. J. G., Alexandre, R. J. D. and Baptista, A. P. M., “TiB2 nanostructured coating for GFRP injection moulds”, Journal of Nanoscience and Nanotechnology , Vol. 11, No. 6, pp. 5374-5382, 2011. [17] Moreira, A., Silva, F. J. G., Correia, A. I., Pereira, T., Ferreira, L. P. and Almeida F. de, “Cost reduction and quality improvements in the printing industry”, Procedia Manufacturing, Vol. 17, pp. 623-630, 2018. [18] Hasani, A., Hosseini, S. M. H., “bi-objective flexible flow shop scheduling problem with machine-dependent processing stages: Trade-off between production costs and energy consumption”, Applied Mathematics and Computation, Vol. 386, 125533, 2020. References A model for productivity improvement on machining of components for stamping dies

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冲压模具零件加工生产率提高模型

[10]陈建军，陈建军，陈建军，“模具制造策略对模具生产的影响”，中国机械工程，Vol. 39 (1)， pp. 172-177, 2006。[10]刘建军，刘建军，刘建军，刘建军，刘建军，“基于非遗传算法的注塑模制孔工艺优化研究”，机械工程学报，第7卷第1期，pp. 9-14, 2016。[10]陈志强，陈志强，陈志强，“电压线端子压接工艺的优化设计”，中国机械工程，第11卷，第1438-1447页，2017。[10]赵伟，李志强，李志强，金勇，“混合冷却通道设计对拼接毛坯热冲压模具性能的影响”，中国机械工程，第1卷，第1期，2020。[10]马伊诺，T.，莫里，k .。和Fujimoto, M.，“水淬和模具淬火对超高强度钢零件热冲压生产率和成形性的改善”，中国机械工程学报，Vol. 64, No. 1, pp. 281-284, 2015。[10]王晓明，王晓明，王晓明，“基于双树复小波变换的皮肤模型形状生成方法”，中国机械工程学报，Vol. 32, pp. 391 - 391, 2020。[10]张建军，张建军，张建军，“复杂形状零件加工的拓扑模型”，工业计算机，Vol. 63(5)， pp. 528-541, 2012。[10]刘建军，刘建军，刘建军，“双相钢冲压过程中边缘裂纹缺陷的研究”，中国机械工程，Vol.17, pp. 737-745, 2018。[10]张建军，张建军，张建军，张建军，“焊接板坯在DP钢v模弯曲中的回弹性能评价”，机械工程学报，Vol. 47, pp. 1366-1373, 2020。[10]王晓明，王晓明，王晓明，“基于双相钢冲压工艺的模拟成本研究”，机械工程学报，第11卷，第474-481页，2017。[10]刘建军，刘建军，刘建军，刘建军，刘建军，刘建军，刘建军，刘建军，“Mo和B4C PVD涂层提高冲压模具寿命的研究”，表面与涂层技术，Vol. 31, pp. 107-119, 2017。[10]张建军，张建军，张建军，张建军，“新型涂层在食品包装成型中的应用”，机械工程学报，第17卷，第886-894页，2018。[10]张建军，张建军，张建军，张建军，“马口铁食品包装冲压模具中TiAlN PVD涂层的研究”，微机械，Vol. 10, No. 3, pp. 182-198, 2019。[10]刘建军，刘建军，刘建军，刘建军，刘建军，“提高高压压铸模具的使用寿命”，表面与涂层技术，第332卷，第319-331页，2017。[10] Silva, F.， Martinho, R.， Andrade, M.， Baptista, a .， Alexandre, R.，“使用PVD涂层提高玻璃纤维增强塑料注塑模具的耐磨性:比较研究”，涂料，Vol. 7, No. 2, pp. 28- 39,2017。[10]刘志强，刘志强，刘志强，刘志强，“TiB2纳米涂层在玻璃钢注塑模具中的应用”，中国机械工程，Vol. 11, No. 6, pp. 5374-5382, 2011。[10]莫雷拉，A.， Silva, F. J. G.， Correia, A. I.， Pereira, T.， Ferreira, L. P.和Almeida F. de .，“印刷行业的成本降低和质量改进”，程序制造，Vol. 17, pp. 623-630, 2018。[10]王晓明，王晓明，“基于多目标的柔性流水车间调度问题研究”，应用数学与计算，Vol. 31, no . 31, no . 33, 2020。冲压模具零件加工生产率提高模型

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来源期刊

Industrial Engineering and Management Systems ENGINEERING, INDUSTRIAL-

CiteScore

2.20

自引率

28.60%

发文量

期刊介绍： Industrial Engineering and Management Systems (IEMS) covers all areas of industrial engineering and management sciences including but not limited to, applied statistics & data mining, business & information systems, computational intelligence & optimization, environment & energy, ergonomics & human factors, logistics & transportation, manufacturing systems, planning & scheduling, quality & reliability, supply chain management & inventory systems.