The Experts below are selected from a list of 26388 Experts worldwide ranked by ideXlab platform
Michael Jacobson - One of the best experts on this subject based on the ideXlab platform.
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the influence of rake angle Cutting Feed and Cutting depth on residual stresses in hard turning
Journal of Materials Processing Technology, 2004Co-Authors: Patrik Dahlman, Fredrik Gunnberg, Michael JacobsonAbstract:Abstract Hard turning is replacing grinding as a method in the production of precision steel products. There are several reports from research works describing the effects on the residual stress and the improvement of the fatigue life of hard turned products. This paper describes how rake angle and Cutting parameters affect the residual stresses in turning. Face turning with constant speed in AISI 52100 was used. Cutting Feed and Cutting depth were investigated, but the main focus was on rake angle influence. The residual stresses were measured using the X-ray diffraction method in both speed and Feed direction. The material was etched down to a depth of 100 μm in order to monitor residual stresses in the whole of the affected depth. Altered Cutting Feeds and rake angle clearly produced significant changes in residual stresses. Results show that rake inclination had the strongest influence on the residual stresses. The compressive stresses become greater with increased Feed rate. Different Cutting depths did not generate different stress levels. The results show that it is possible to produce tailor-made residual stress levels by controlling the tool geometry and Cutting parameters.
Patrik Dahlman - One of the best experts on this subject based on the ideXlab platform.
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the influence of rake angle Cutting Feed and Cutting depth on residual stresses in hard turning
Journal of Materials Processing Technology, 2004Co-Authors: Patrik Dahlman, Fredrik Gunnberg, Michael JacobsonAbstract:Abstract Hard turning is replacing grinding as a method in the production of precision steel products. There are several reports from research works describing the effects on the residual stress and the improvement of the fatigue life of hard turned products. This paper describes how rake angle and Cutting parameters affect the residual stresses in turning. Face turning with constant speed in AISI 52100 was used. Cutting Feed and Cutting depth were investigated, but the main focus was on rake angle influence. The residual stresses were measured using the X-ray diffraction method in both speed and Feed direction. The material was etched down to a depth of 100 μm in order to monitor residual stresses in the whole of the affected depth. Altered Cutting Feeds and rake angle clearly produced significant changes in residual stresses. Results show that rake inclination had the strongest influence on the residual stresses. The compressive stresses become greater with increased Feed rate. Different Cutting depths did not generate different stress levels. The results show that it is possible to produce tailor-made residual stress levels by controlling the tool geometry and Cutting parameters.
Philippe Bocher - One of the best experts on this subject based on the ideXlab platform.
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surface finish and residual stresses induced by orthogonal dry machining of aa7075 t651
Materials, 2014Co-Authors: Walid Jomaa, Victor Songmene, Philippe BocherAbstract:The surface finish was extensively studied in usual machining processes (turning, milling, and drilling). For these processes, the surface finish is strongly influenced by the Cutting Feed and the tool nose radius. However, a basic understanding of tool/surface finish interaction and residual stress generation has been lacking. This paper aims to investigate the surface finish and residual stresses under the orthogonal Cutting since it can provide this information by avoiding the effect of the tool nose radius. The orthogonal machining of AA7075-T651 alloy through a series of Cutting experiments was performed under dry conditions. Surface finish was studied using height and amplitude distribution roughness parameters. SEM and EDS were used to analyze surface damage and built-up edge (BUE) formation. An analysis of the surface topography showed that the surface roughness was sensitive to changes in Cutting parameters. It was found that the formation of BUE and the interaction between the tool edge and the iron-rich intermetallic particles play a determinant role in controlling the surface finish during dry orthogonal machining of the AA7075-T651 alloy. Hoop stress was predominantly compressive on the surface and tended to be tensile with increased Cutting speed. The reverse occurred for the surface axial stress. The smaller the Cutting Feed, the greater is the effect of Cutting speed on both axial and hoop stresses. By controlling the Cutting speed and Feed, it is possible to generate a benchmark residual stress state and good surface finish using dry machining.
Mohammed T Hayajneh - One of the best experts on this subject based on the ideXlab platform.
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artificial neural network modeling of the drilling process of self lubricated aluminum alumina graphite hybrid composites synthesized by powder metallurgy technique
Journal of Alloys and Compounds, 2009Co-Authors: Mohammed T Hayajneh, Adel Mahmood Hassan, Ahmad MayyasAbstract:In recent years, the consumption of metal matrix composites (MMCs) materials in many engineering fields has increased enormously. Most industries are usually looking for replacement of ferrous components with lighter and high strength alloys like Al metal matrix composites. Despite the superior mechanical and thermal properties of particulate metal matrix composites (PMMCs), their poor machinability is the main drawback to their substitution to other metallic parts. Machining is a material removal process which is important for many stages prior to the application or assembling of the components. Accordingly, the need for accurate machining of composites has also increased tremendously. This study addresses the modeling of the machinability of self-lubricated aluminum/alumina/graphite hybrid composites synthesized by powder metallurgy (P/M). In the present work, a Feed forward back propagation artificial neural network (ANN) system is used to investigate the influence of some parameters on the thrust force and Cutting torque in the drilling processes. Experimental data collected were tested with artificial neural network technique. Multilayer perceptron model has been constructed with Feed forward back propagation algorithm using the input parameters of Cutting speed, Cutting Feed, and volume fraction of the reinforced particles. Output parameters were the thrust force and Cutting torque. On completion of the experimental test, an ANN is used to validate the results obtained and also to predict the behavior of the system under any condition within its operating range. The predicted thrust force and Cutting torque based on the ANN model were found to be in a very good agreement with the unexposed experimental data set. The modeling results confirm the feasibility of the ANN and its good correlation with the experimental results. The degrees of accuracy of the prediction were 93.24% and 94.17% for thrust force and Cutting torque, respectively. It is concluded that ANN is an excellent analytical tool, which can be used for other machining processes, if it is well trained.
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monitoring hole quality in a drilling process using a fuzzy subtractive clustering based qa system identification method
Journal of Testing and Evaluation, 2007Co-Authors: Mohammed T Hayajneh, S M RadaidehAbstract:In this study, a subtractive clustering fuzzy identification method and a Sugeno-type fuzzy inference system are used to monitor the hole quality in a drilling. The model for the hole quality is identified by using the hardness of the workpiece, the Cutting speed, and the Cutting Feed as input data and the hole quality features of hole roughness, roundness error, and oversize error as the output data. The process of model building is carried out by using subtractive clustering in both the input and output spaces. A minimum error model is obtained through exhaustive search of the clustering parameters. The fuzzy model obtained is capable of predicting the hole quality for a given set of inputs (hardness of the workpiece, the Cutting speed, and the Cutting Feed). Therefore, one can predict the quality of the drilled hole for a given set of working parameters. The fuzzy model is verified experimentally using different sets of inputs. This study deals with the experimental results obtained during drilling on medium carbon steel (AISI 1060), aluminum, and brass.
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a study of the effects of machining parameters on the surface roughness in the end milling process
2007Co-Authors: Mohammed T Hayajneh, Montasser S Tahat, Joachim BluhmAbstract:A set of experiments designed to begin the characterization of surface quality for the end-milling process have been performed. The objective of this study is to develop a better understanding of the effects of spindle speed, Cutting Feed rate and depth of cut on the surface roughness and to build a multiple regression model. Such an understanding can provide insight into the problems of controlling the finish of machined surfaces when the process parameters are adjusted to obtain a certain surface finish. The model, which includes the effect of spindle speed, Cutting Feed rate and depth of cut, and any twovariable interactions, predicted the surface roughness values with an accuracy of about 12%.
S. V. Shvets - One of the best experts on this subject based on the ideXlab platform.
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The assessment of plastic deformation in metal Cutting
Journal of Materials Processing Technology, 2004Co-Authors: Viktor P. Astakhov, S. V. ShvetsAbstract:Abstract Because plastic deformation is a nuisance in the metal Cutting process, its proper account is of high interest. A new meaning for the chip compression ratio is discussed showing that, on the contrary to shear strain, this parameter represents the true plastic deformation in metal Cutting. The chip compression ratio can be used to calculate the total work done by the external force applied to the tool and then might be used for optimization of the Cutting process. It is demonstrated that the Cutting speed influences the energy spent on the deformation of the chip through temperature, dimensions of the deformation zone adjacent to the Cutting edge and velocity of deformation. The separate impacts of these factors have been analyzed and the physical background behind the known experimental dependence of the chip compression ratio on the Cutting speed is revealed. The influence of the Cutting Feed, tool Cutting edge angle, Cutting edge inclination angle and tool rake angle have also been analyzed.
