تعيين شرايط حاكم بر ماشينكاري سوپر آلياژاينكونل 718 با اايجاد تغييرات در پارامترهاي براده برداري به كمك طراحي آزمايش و بهينه سازي پروسه ماشينكاري

چكيده انگليسي :

149 Rasool Mokhtari Homami r mokhtarihomami@me iut ac ir 2011 01 05 Department of Mechanical Engineering Isfahan University of Technology Isfahan 84156 83111 IranDegree M Sc Language FarsiSupervisor Ali Reza Fadaei Tehrani Email mcjaft@cc iut ac irAbstractDevelopments in cutting tools and machine tools have made it possible to cut materials in their hardened state Inconel718 superalloy is known as a difficult to cut material although is the most widely used superalloy accounting forapproximately one third of all superalloy production A major attribute of Inconel718 is its processing versatility It canbe fabricated over a wide range of temperatures forging reductions and strain rates to produce microstructures andassociated properties tailored for specific requirements Inconel 718 possesses excellent corrosion and oxidationresistance in addition to good formability It also has good sea water corrosion resistance and so is attractive for marineapplications Typical aerospace applications include compressors and turbine disks buckets and spacers and bolts for jetengines liquid rocket components involving cryogenic temperatures and power supply batteries for satellites Sinceturning is the primary operation in most of the production processes in the industry surface finish of turned componentshas greater influence on the quality of the product Surface finish in turning has been found to be influenced in varyingamounts by a number of factors such as feed rate work material characteristics work hardness unstable built up edge cutting speed feed rate cutting time tool nose radius and tool cutting edge angles stability of machine tool andworkpiece setup chatter and use of cutting fluids Like other Ni base superalloys the machinability of Inconel 718 isinferior to that of most steels including stainless steels The main goal of this study is to improve the conditions of turningof Inconel 718 superalloy in order to minimize amount of flank wear and maximize the surface finish Several methods ofresearch have been used in this study In the first stage some experiments were performed based on full factorial designusing a TiAlN coated carbide tool GC1105 The results of tool wear showed that using TiAlN coated carbide toolsprevents from notch wear which is the main cause of the disorder of tools when the machining of Inconel 718 superalloyis performed The designing parameters include cutting velocity feed rate nose radius and entering angle In addition the responses are the maximum flank wear VBmax and surface roughness Ra The second step is nonlinear modeling ofthe process by artificial neural networks In this study the modeling of the process of turning of Inconel 718 superalloywas done with great success In order to obtain the relation between each of the outputs and the designing parameters anartificial neural networks was trained Modified performance function based on the regularization The third step is theoptimization of turning process by genetic algorithm In this phase the maximum flank wear as the objective functionand the surface roughness as the nonlinear constraint function have been picked up Finally the optimized parametersresulted from combination of ANNs and GAs have been evaluated by a validation test The results showed that flankwear in optimum value has been 48 less than the default value and the surface roughness has had a reduction of 38 Key wordsTurning Inconel 718 Design of Experimental Genetic algorithm Artificial neural network

مختاري همامي، رسول

تعيين شرايط حاكم بر ماشينكاري سوپر آلياژاينكونل 718 با اايجاد تغييرات در پارامترهاي براده برداري به كمك طراحي آزمايش و بهينه سازي پروسه ماشينكاري

تراشكاري , شبكه هاي عصبي , الگوريتم ژنتيك