Erscheinungsdatum: 03.06.2016, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Selection and Analysis of Spindle and Ballscrew of CNC Machine, Autor: Gondaliya, Ravi, Verlag: LAP Lambert Academic Publishing, Sprache: Englisch, Rubrik: Maschinenbau // Fertigungstechnik, Seiten: 100, Informationen: Paperback, Gewicht: 168 gr, Verkäufer: averdo
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Nowadays, the application of artificial techniques is present in various fields as well as in the manufacturing industries. This Book offers the applications of Artificial Techniques available for programming of CNC Machine Tools. Offers clear description for different problems of Intelligent CNC machine tools, such as tool path length, tool selection, optimization of machining parameters. Also, in this book are explain the problems for linear, circular and spline interpolation. As another problem, is developed as model for flexible manufacturing system including such as: saw, lathe, boring, milling and grinding CNC machine tools. Except, of main problems in this book are obtained and analyzed some other problem with help of the Artificial Intelligence for investigation of cutting force, surface roughness, measurement of tool wear. Mathematical model is implemented into the Multi-objective Genetic Algorithm to solve the problem as case of study in this book. Discrete machining is applied to solve the problem for turning workpiece where each square present the sequence of machining process, and cutting force is depended from the depth of cut and geometry of workpiece using Matlab.
Optimization of a 2.5D milling process is generally considered to be one of the most significant issues for high-speed machining during mass production to amplify productivity and quality of production. Total time spent during 2.5D milling primarily comprises of productive and non-productive time. The productive time, cost and quality of production is highly influenced by machining parameters such as cutting speed, feed rate, width of cut (step over), depth of cut, tool diameter etc. Also selection of optimal machining conditions for better machining process efficiency is one of the key factors for this problem. The objective of the present work is to identify and organize the controllable variables such that there is minimum effect of uncontrollable or noise variables on the process performance. The machining processes which maintain balance between cost and quality of production are presumed to be efficient. The movements of tool are synchronized with the help of automatically generated CNC codes. In the present work an attempt also been made on minimization of non-productive time by synchronizing cutting tool movements for malti pockets job problems.
Rapid Prototyping is fast becoming one of the essential technologies that allow manufacturers to improve product quality and reduce both times to market and the cost of new lines. RP helps quickly fine tune the designs from concept to functional prototype that can cut product development schedule to weeks or months. A generative process planning system for parts produced by Fused Deposition Modeling is discussed. Process planning for RP involves optimal selection for orientation of model with a proper support structure and it requires an intelligent slicing methodology, direct or adaptive to minimize the built up time by keeping the geometry and cusp height errors in control. Pre and post slicing processes have been used to minimize the sliced data error. The CAPP model involves seven modules and it has been implemented in C language using a unique methodology. A set-up is being designed to fuse and extrude the FDM wire and it is being used in place of the spindle of a CNC milling machine. The proposed work can also be used for metal to be deposited and the whole set-up costs very less as compared to the commercial counterparts.
This book is a study about the critical components of CNC machine. As performance of CNC machine great depends on its main or critical components i.e. spindle and ballscrew, and this performance is interrelated with machine tool and machining process. Initially we take spindle for analysis in this report. For analyzing force we take most common process perform on CNC machine say drilling process and turning, in which torque and thrust force is generated, and this force calculated by mathematical modeling. Using this torque and thrust force we are analyzing in ANSYS 13.0 Workbench software. These software gives the most preciously result in analysis and optimization point of view. As the critical components like spindle and ballscrew is to be analyzed for that stress analysis, total deformation and maximum shear stress is carried out in the software. Using this FEA analysis optimization of spindle is being done. And another critical component of CNC machine i.e. ballscrew is analyzing and further checking their acceptability whether it is working within permissible limits or not. And also selection methodology of ballscrew and service life is to be calculated.
An optimization based on genetic algorithm (GA) for determining the cutting parameters in machining operations is proposed. In turning metal cutting processes, cutting conditions are influencing the tool wear and material removal rate. The genetic algorithm has been used as an optimal solution tool in order to find optimal cutting parameters during a turning process. Moreover, process optimization has to yield minimum tool wear, tool life, and maximum material removal rate. The material that selected for the machining is EN24T steel, since it's used in different applications such as rollers, bolts, screws and connecting rods. The turning operation is implemented on CNC lathe with SINUMERIK 802D in order to study the performance characteristics for turning of EN24T Steel by taking coated carbide inserts cutting tool. Furthermore, the analysis of variance (ANOVA) is applied to find the significant input parameters which will mostly affect the output responses. Since the genetic algorithm-based approach can obtain the near-optimal solution, it can be used for machining parameter selection of machined parts that require many machining constraints.