Font Size: a A A

Study On The Simulation Of Cutting Process And Structure Optimization Of Spiral Groove Tool

Posted on:2012-12-02Degree:MasterType:Thesis
Country:ChinaCandidate:C FangFull Text:PDF
GTID:2211330371464323Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
It is significant to select reasonable tool and reliable processing technology to ensure machining quality and cost. According to genetic algorithm, the tool structure and processing technology are optimized based on FEA model in this thesis. Since the spiral groove tools are wildly used in machining industry, ball-end mill and twist-drill are chose as examples to investigate. The main researches are simply started as follows.The FEA model of ball-end mill machining is established. According to the milling force experiment on five degree inclined MOCRFE plane, this model is proven very accurate. Furthermore, the orthogonal array experiment are carried on this model to study the influence of some processing technology parameters, such as spindle speed, feed speed, milling depth and milling width.The regression function between milling force and milling parameters is figured out by multiple linear regression method, and its notability is confirmed by practical tests. Based on this function, the multi-object optimization model for ball-end milling is obtained by choosing three optimization targets which are efficiency, cost and milling force. Then genetic algorithm is applied to find the optimal parameters. Furthermore, a optimization system for ball-end milling parameters is developed based on Graphical User Interface(GUI)of MATLAB. Moreover, the results from this system coincide with the results of FEA simulation analysis, and it shows that this system is helpful to practical milling.The FEA model of torsional rigidity for twist-drill is obtained and verified by the experimental results from other related references. Then the torsional rigidity are studied with orthogonal array experiment to structure parameters. Furthermore, the front angle restrict are studied to develop an optimization system for twist-drill structure parameters by integrating genetic algorithm and Graphical User Interface of MATLAB. Moreover, the results from this system coincide with the results of FEA simulation analysis, and it shows that this system is helpful to practical drilling.
Keywords/Search Tags:ball-end mill, milling parameters, twist-drill, structure parameters, Orthogonal array experiment, genetic algorithm, optimization
PDF Full Text Request
Related items