AL-6061 دراسة عملية لخصائص عملية الخرائط لأجزاء من الالمنيوم

dc.contributor.authorزهراء عبد الكريم هادي حسين
dc.contributor.editorأ. د. عدنان عبد الحسين عكلة
dc.contributor.editorأ.م.د. حازم اسماعيل راضي
dc.date.accessioned2025-02-06T22:26:03Z
dc.date.available2025-02-06T22:26:03Z
dc.date.issued2022-06-21
dc.description.abstractThe present research aims to study the significance of the influence of the process parameters on response variables such as hardness, roughness of surface and the rate of metal removal. Traditionally, the selection of cutting parameters for turning is left to machine operators, but in this case, even for a skilled operator, it is very difficult to obtain the optimum values of the parameters. To determine a good quality characteristic, it is necessary to set the optimum value of the parameters for that the optimization technique is used. Experiments designed using the taguchi method with three parameters and five levels which are spindle speed (500, 750, 1000, 1250, and 1500 rpm), cutting depth of (0.100,0.575, 1.050, 1.525and 2.000 mm) and feeding rate of (0.050, 0.075, 0.100, 0.125 and 0.150 mm/rev). Twenty five tests were conducted on FANUS (series oi Mate-TC) CNC machine by choosing aluminum 6061 to be specimen material. For obtaining the optimal turning factors, mathematical models were prepared by statistical method (linear and quadratic regression) for each of hardness, roughness, and MRR. For finding out the accuracy of these equations, the expected values of the outputs were extracted, and then tested the agreement between expected and reality values of responses. The effect of process parameters on roughness of surface, hardness, and MRR were analyzed statistically by analysis of variance (ANOVA) and analysis of S/N ratio. From this analysis, the results indicate that the depth, speed, and feeding rate have dominant effect on the responses hardness, roughness of surface, and MRR in both dry and wet environments. It can be concluded that the wet condition turning process is better than that of the dry condition in terms of surface roughness, hardness, and MRR. From the S/N optimization process, it can be seen that the optimum sets of input parameters for hardness in the dry state were (speed= 500 rpm, feed= 0.050 mm/rev, and depth= 0.100mm), while in the wet condition the optimum sets were (speed= 1500 rpm, feed= 0.050 mm/rev, and depth= 1.525). The optimum sets of turning parameters for roughness in dry conditions were (speed= 1500 rpm, feed= 0.050 mm/rev, and depth= 0.100 mm), while in wet conditions the optimum sets were (spindle speed= 1250 rpm, feed= mm/rev, and depth = 1.525 mm). The optimum sets of control variables to maximize material removal rate in dry condition were (spindle speed= 1500 rpm, feed rate= 0.075 mm/rev, and depth of cut= 2.000 mm), while the optimum sets of turning parameters in wet condition were (spindle speed= 1250 rpm , feed= 0.125 mm/rev, depth of cut= 2.000 mm).
dc.identifier.urihttps://dspace.utq.edu.iq/handle/123456789/730
dc.titleAL-6061 دراسة عملية لخصائص عملية الخرائط لأجزاء من الالمنيوم
dc.title.alternativeExperimental Investigation of Turning Process Parameters on Characteristics of Machined
dc.typetext::thesis::master thesis
oairecerif.author.affiliationكلية الهندسة - قسم الميكانيك
oairecerif.editor.affiliationجامعة ذي قار - كلية الهندسة - قسم الميكانيك
oairecerif.editor.affiliationجامعة ذي قار - كلية الهندسة - قسم الميكانيك

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