3D surface topography prediction in the five-axis milling of plexiglas and metal using cutters with non-uniform helix and pitch angles combining runout
Journal of Materials Processing Technology, ISSN: 0924-0136, Vol: 314, Page: 117885
2023
- 18Citations
- 9Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Surface micro-morphology (SMM) determines the working performance of a key component. Because, for metals (e.g. Aerometal), SMM affects the capability of holding lubricating oil, the fitting accuracy, and the serving life, etc. And for non-metals (e.g. Plexiglas), SMM affects light transmission, weathering resistance and mechanical strength, and so on. One of the most important ways to obtain the desired surface is the 5-axis flank milling technology. In this process, cutters with variable helix and pitch angles are used commonly, and the runout is also general. These angles and runout have great effects on SMM. Therefore, to consider these factors, this paper introduces an accurate model to predict SMM. First, true trace-surfaces of cutter edges considering process parameters are built. Then, sample lines vertical to the tool path are constructed. Based on these, a model to compute points on SMM is proposed. Third, the modified Levenberg-Marquardt method is presented to solve SMM model with an innovative way to determine initial conditions. Subsequently, the SMM can be obtained. Then, effects of the cutter runout, pitch and helix angles on SMM are also studied and some important principles are found. Finally, some examples and experiments are conducted to prove the validity of the proposed method.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0924013623000304; http://dx.doi.org/10.1016/j.jmatprotec.2023.117885; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85147190957&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0924013623000304; https://dx.doi.org/10.1016/j.jmatprotec.2023.117885
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know