2019
DOI: 10.1007/978-3-030-37497-6_64
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Optimization of Manufacturing Time in Surface Grinding

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Cited by 2 publications
(3 citation statements)
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“…by comparing the performances with classical gears), reliability and manufacturing/assembly aspects. Additionally, fatigue tests are required, together with comprehensive estimations about the manufacturing time required for this kind of gears, since it is a critical parameter for the actual feasibility of the product (Tung et al, 2020a(Tung et al, , 2020b. Indeed, the currently available data about the proposed solution were not sufficient to perform these evaluations.…”
Section: Conclusion and Future Developmentsmentioning
confidence: 99%
“…by comparing the performances with classical gears), reliability and manufacturing/assembly aspects. Additionally, fatigue tests are required, together with comprehensive estimations about the manufacturing time required for this kind of gears, since it is a critical parameter for the actual feasibility of the product (Tung et al, 2020a(Tung et al, , 2020b. Indeed, the currently available data about the proposed solution were not sufficient to perform these evaluations.…”
Section: Conclusion and Future Developmentsmentioning
confidence: 99%
“…In those studies, the researchers have focused on different targets over different value sets of variables in specific applications. However, the previous studies have focused primarily on the optimization of cutting parameters under surface grinding [5][6][7][8][9][10][11] and cylindrical grinding [12][13][14]. In 2002, based on the genetic algorithm, R. Saravanan et al [5] developed an optimization procedure using a multi-objective function model with a weighted approach and predefined mathematical models of constraints to optimize grinding conditions in the surface grinding process.…”
Section: Introductionmentioning
confidence: 99%
“…A methodology was proposed for computing the optimal cutting parameters to maximize the material removal rate in the cylindrical grinding process for EN45 steel materials [14]. In 2020, Luu Anh Tung et al [9] optimized the replaced grinding wheel diameter to a minimum manufacturing time in the surface grinding process for stainless steel. In 2021, based on the Taguchi method, the optimal dressing parameters in the surface grinding of SKD11 steel was determined to enhance the wheel life by Vu Ngoc Pi et al [10].…”
Section: Introductionmentioning
confidence: 99%