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Experiments And Process Planning Of Parts Milling

Posted on:2016-04-14Degree:MasterType:Thesis
Country:ChinaCandidate:H Y JiFull Text:PDF
GTID:2191330461485307Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Big margin cutting is one of cutting way which many small and medium-sized enterprise workers adopted, but this way is used less and less,needing optimizing. High speed cutting is one theory based on experiments of European and American countries in the 1980 s, is one of the future development direction of cutting, but because of all kinds of constraints, we can’t use foreign cutting parameters of related experiments directly. So you need to use the concept of high speed cutting, do some modification and optimization for cutting parameters, so as to improve cutting efficiency.In present, domestic small and medium-sized enterprises lack of hardware conditions, their equipment is relatively backward, hardware conditions is insufficient, but they need to improve the production efficiency. This paper will resolve the following question:use medium power machine milling aluminum alloy material and 45 steel material, how to improve production efficiency, and at the same time, ensure the surface roughness of the workpiece and reduce tool wear, and then do actual process parameters planning for typical workpiece, on the basis of experimental research.Under the guidance of the concept of high speed machining, this paper use the method of orthogonal experiment to optimize the cutting efficiency for the purpose, design three orthogonal experiments of four levels and three factors, according to series of calculation and analysis, indicates which factors affecting the cutting efficiency have the bigger influence. Get several groups of parameters to improve cutting efficiency. Next, test surface roughness values based on the design of cutting parameters in the efficiency experiments, and do some observation to surface texture, to get several groups of parameters which have low surface roughness value. In addition, observe and analyze tool wear of some parameters. Finally, considering three factors, use the single factor optimization method, get several groups of optimization parameters which can used in processing of typical parts.By means of a series of experiments, the main conclusions include:for 45 steel, the cutting speed Vc remain the same, cutting efficiency is greatly improved by changing the cutting depth and feed per tooth. Compared with traditional cutting parameters, the optimized cutting parameters has greatly increase. Which further proves that using the concept of high speed cutting in the study of cutting efficiency is correct. In line with small cutting depth and big feed tendency.Experiment for workpiece surface quality shows that the influence to surface roughness value, cutting depth> feed per tooth> cutting width> cutting speed. According to surface morphology observation and analysis, summarize a set of more appropriate cutting parameters.Through microstructure observation of tool, analyze the cause of the cutting tool wear and breakage and collapse edge blade. Tool wear mainly because of:too long tool rod, low cutting speed, large feed speed, etc.Finally, do parameter optimization to specific workpiece processing using the single factor optimization method, through a series of trial cut experiment and observation, the reasonable cutting parameter were determined for 6061 aluminum alloy materials and 45 steel materials in different processing phases.In conclusion, this paper design a series of optimizing experiments according to efficient cutting concept. play a certain theory instruction function to ordinary small and medium-sized enterprises. It improved the cutting efficiency. And by optimization experiment and analysis for the influence of cutting parameters on surface roughness and tool wear, summarized the related law. In actual parts processing, achieve the balance of cutting efficiency and surface roughness and the tool life, solves the small and medium-sized enterprise contradiction of insufficient hardware equipment and low production efficiency.
Keywords/Search Tags:cutting parameters, orthogonal experiment, process planning
PDF Full Text Request
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