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Process planning is a production organization activity that transforms a product design into a set of instruction (sequence, machine tool setup etc.) to manufacture machined part economically and competitively. Harnessing the power of the computer is extremely advantageous in process planning. Computer aided process planning (CAPP) is a means to automatically develop the process plan. The key of the development of such CAPP System is to structure the data concerning part design, manufacturing facilities and capabilities into categories and logical relationships. CAPP thus appears to fully integrate CAD and CAM. In this paper, an attempt has been made, to develop a software package which will generate the manufacturing process sheet automatically. A computer program, using visual basic programming languages, is written for this purpose. The process sheet is developed by selecting the operation from the menu and then by feeding the part drawing details. The approach involves, asking a series of questions by the system to the user, about the component drawing and related details. Initially the system asks the user, about the choice of machining operation. The developed system is interactive and simple in use. Any non-computer person or non experienced engineer can also use it easily. It provides a quick and efficient.
In the present article has been proposed route for design of mold element with using TopSolid, and developed comparative analysis of the technological processes for machining of element of a mold with using TopSolid'CAM and ESPRIT, as covering all basic operations for 3-axis machining of design surfaces. Experimental studies are realized on a machining center DMG MORI NVX 5060. The results are illustrated in tabular and graphical form.
IAEME, 2018
Pocket milling, which involves the removal of all material inside a closed boundary, makes use of Computer Aided Manufacturing (CAM) generated tool paths to remove material to a fixed depth. This project investigates the optimization of Computer Numerical Control (CNC) pocket milling operation parameters for stainless steel 304 using Taguchi methodology and Grey Relational Analysis approach. The operation involves for two di tool path. Surface Roughness (Ra), Material Removal Rate (MRR) where selected as the quality, productivity target respectively. Taguchi‟s L9 orthogonal arra (mm/rev) and depth of cut (mm) at three levels. The grey relational analysis was used to obtain multi objective relation between the machining parameters and performance characteristics. Response table and g asp 922 [email protected] IJMET) 2018, pp. 922–927, Article ID: IJMET_09_12_092 0976-6359 Scopus Indexed DIFFERENT TOOL PATH IN R. Venkatesh Thottiam, Trichy, India V. Vijayan Mechanical Engineering, Samayapuram, Trichy, Tamilnadu, India A. Parthiban hool and Advanced Studies. Chennai, India T. Sathish Avadi, Chennai, India. S. Siva Chandran of Mechanical Engineering, Chennai, India different tool path of zig-zag tool path and contour parallel The experiments were conducted based on array by selecting spindle speed (mm/min), feed rate graphs were used to find the optimal levels
This paper deals with the design of Computer Aided Process Planning (CAPP) for manufacturing a Casing Cover Plate, which requires machining on inside and outside considering the desired fit. CAPP is designed by using the Siemen’s developed NX 7.5 software. The design considers the different aspects of the Process planning activities to convert the given 2 D drawing into a final manufactured product. The factors include the following: Layered Manufacturing, interpretation of product design data, selection of machining processes, selection of cutting tools, selection of machine tools, determination of setup requirements, sequencing of operations, determination of the production tolerances, determination of the cutting conditions, design of jigs and fixtures, tool path planning & NC program generation and generation of process route sheets
ABSTRACT The task of manufacturing is to produce parts/products such that they meet design specifications. This paper emphasizes the significant role of computer Aided Process Planning (CAPP) in a typical manufacturing industry. Process planning is the sequence of individual manufacturing operations needed to produce a part or product. The scope of this work is designed to show in its simplest manner, how the job of process planners who ply their trade in manufacturing is made easier and better. In the traditional process planning, much is rested upon the skills, experience and judgment of the process planner, whereby the route sheet is designed manually and applied to the manufacturing of parts or products. This classical method of process planning has a lot of flaws, a good number of which have been taken care of by the utilization of computer technology in process planning. In the development of this paper, Computer Aided Process Planning CAPP was introduced as the solution of the bottleneck situation experienced by manual or traditional process planners. The attention is on manufacturing processes or operations where metal is the prevalent work material for example plier, spanner, wheel drum, axle, shaft etc. manufacturing organizations. Computer Aided Design, CAD and Computer Aided Manufacturing, CAM were explained as two application software which must be unified by the CAPP software, if a manufacturing industry is to be fully computerized. Keywords: Process Planning, Process Plan, Route Sheet, Computer Program, Computer Integrated Manufacturing, Group Technology, Process code, knowledge base
Main activities of the technological preparation of production refer to the process planning and optimization. Process plans as the most significant objects of optimization in production systems are characterized by variant solutions in all stages, from the selection of raw material and manufacturing technologies, types and sequences of processes and machining operations, types and characteristics of manufacturing resources, machining parameters and strategies, with machining time, cost, accuracy and surface quality as main objective functions of process planning optimization. Main goal of this paper is to analyze the possibilities of improving technological preparation of production, or precisely, to improve process planning and optimization of manufacturing process plans through the application of feature technologies and the considered simulation technique. The application of feature technologies will be analyzed from the aspect of possible integration of product design and process planning, while the application of the simulation technique within the CAD/CAM system will test the influence of variants of machining operations and machining strategies on the process planning optimization from the aspect of machining time. process planning, optimization, feature technologies, simulation technique Two basic activities within the product development are product design and product manufacturing which ought to be integrated and connected at the greatest possible extent. Technological preparation of production represents the main integr that should meet design requirements of product designers on one hand, and to adopt manufacturing possibilities of production on the other hand [1]. Main activity of the technological preparation refers to the manufacturing process planning and optimization. The imperative of modern global production is to generate rational and optimal process plans, in accordance with the basic optimization criteria such as productivity, cost-effectiveness, machining accuracy and surface quality [2]. Process planning represents the complex multi-dimensional problem that depends on the input data and set requirements according to the observed product/s, as well as the techno-economic conditions and subjective preferences of the product designer. The most important input data for process planning are product drawings which possess information about materials, dimensions, machining accuracy, surface quality, production volume and available manufacturing resources, such as raw materials, machines, tools, fixtures, measuring instruments etc. Accordingly, various process plans can be predicted for the same manufacturing conditions and which can be evaluated using various optimization criteria [3]. ng conditions, modern CAD programming systems based on feature technologies, or the application of features in modeling, are mainly used for product design and for defining technological documentation. However, the attention of product designers is focused on realizing functional characteristics of products and parts, whereby they use features in modeling which generally do not match the typical manufacturing features. By that, the process planning, as well as the integration of CAD, CAPP and CAM systems is more difficult to achieve [4]. According to above mentioned, the first task of this paper is related to the analysis of possibilities of modeling products by applying features that match with manufacturing features which are used in machining processes. In this way, it is intended to facilitate the manufacturing process planning, as well as the integration of activities of product design and process planning through direct application of features from CAD systems to machining process within CAM systems.
An integrated CAD/CAPP system is proposed based on STEP standard for feature-based process planning. The proposed system helps designers and process planners to improve their design and planning in the early stages of the product life cycle. In the design stage (CAD), a feature-based design system has been developed to construct mechanical parts in terms of high-level 3D solid features. The designed part is then exported as a STEP AP224 XML data format which can be used to integrate into CAPP system without feature recognition process. In process planning stage (CAPP), an intelligent process planning system has been developed to map STEP AP224 XML data and produces the corresponding machining operations to generate process planning data. A hybrid approach of neural network and expert system is used as the inference engine of the proposed CAPP system.
CAPP system plays a key role to integrate design and manufacturing or assembly systems properly considering available resources and design constraints. Many CAPP systems have so far been developed. Different researchers adopted different advanced techniques and approaches such as feature or solid model based design, object oriented programming, technological databases, and utilized advanced computing methods including expert system and artificial intelligence. Recently some research areas such as feature recognition or feature extraction from CAD file, application of AI techniques like Genetic Algorithms (GAs), Artificial Neural Network (ANN), Fuzzy logic are gaining more attention among the researchers. Feature recognition improves overall effectiveness of a manufacturing system by eliminating the human involvement between design and process planning. Due to the rapid development of computing technology, AI techniques have been found to be very suitable at different stages of process planning. Poor responses of the current static CAPP systems to the real time shop floor status and dynamic nature of the manufacturing environment made many researchers to develop dynamic CAPP systems. In this paper, a comprehensive overview of the current trend in research works on CAPP is presented, classifying those works into several categories according to their focus. 1 INTRODUCTION An efficient CAPP system has a key role to integrate the design and manufacturing or assembly systems properly considering available resources and design constraints. It has been found that 15% of the process planner's time is spent on technical decision making w hile remaining time is spent equally between gathering data, calculating and the preparation of documentation [39]. Investigation shows that an efficient CAPP systems could result in a total reduction of the manufacturing cost by up to 30% and time in the manufacturing cycle and the total engineering time could also be reduced by up to 50%[39]. Computer Aided Process Planning (CAPP) is a very old idea. Niebel presented the first idea of using the speed and consistency of computer to assist in the determination of process plans. Despite the early recognition of possibility of extracting operations and processing sequences from the part geometry as described in CAD, computer aided process planning has not been addressed broadly until 1970s. In 1976 two CAPP systems (CAPP and MIPLAN) were developed. Subsequently Wysk (1977) presented a generative system for detailed process selection titled APPAS [3]. Since then CAPP has begun to be widely addressed. Process planning is first defined by Chang [ 6] as the function within the manufacturing facility that establishes which processes and parameters are to be used (as well as those machines capable of performing these processes) to convert a work piece to a finished part from its initial form to the final one predetermined in a engineering drawing. Process planning is that facet of manufacturing engineering which covers the translation of engineering design data into the most efficient method of part manufacturing [33]. The society of Manufacturing Engineers defines process planning as " the systematic determination of methods by which a product is to be manufactured, economically and competitively. " Task of process planning involves a series of steps. During manual process thinking, a process planner first reviews an engineering drawing to identify major removable features of the part. The planner then studies the design specifications and compares these specifications with his/her knowledge about the production. The planner can also take help of the available
International Journal of Advanced Manufacturing Technology, 1998
During the last decade, computer-aided process planning (CAPP) has received much attention both from researchers and practitioners. One of the reasons for this is the role of CAPP in reducing throughput time and improving quality. An attempt has been made in this paper to review the existing literature with the objective of gaining insights into the design and implementation of CAPP systems. The literature available (1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996) on CAPP has been reviewed based on the types of systems. The advantages and disadvantages of such systems are presented. Finally, future research directions are indicated.
1998
During the last decade, computer-aided process planning (CAPP) has received much attention both from researchers and practitioners. One of the reasons for this is the role of CAPP in reducing throughput time and improving quality. An attempt has been made in this paper to review the existing literature with the objective of gaining insights into the design and implementation of CAPP systems. The literature available (1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996) on CAPP has been reviewed based on the types of systems. The advantages and disadvantages of such systems are presented. Finally, future research directions are indicated.
The present paper is aimed at developing an intelligent Computer-Aided Process Planning methodology based on application of a KBS for automatic generation of process plans for machining. It takes, as input, information about the different machining features present in the part and automatically generates a detailed sequence of machining operations including the precedence constraints, the different machining setups in accordance with the given Tool Approach Directions, the list of operations to be performed within each setup, the locating and clamping faces needed for fixturing the component as well as the setup sequence. To accomplish the above, a set of knowledge based rules have been developed and implemented using an Expert System Shell. The application of the proposed approach has been demonstrated using an example part. By using the proposed approach, it is anticipated, that process planning can be accomplished automatically and quickly by investigating a very limited amount of time making it attractive for applications in industry.
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