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An Automatic Feature-Based Tool Selection Approach for Turning An automatic Feature-based tool selection approach for turning process based on data from Sandvik Coromant Oussama Jaider, Abdelilah El Mesbahi, Ahmed Rechia, Hanae Zarkti To cite this version: Oussama Jaider, Abdelilah El Mesbahi, Ahmed Rechia, Hanae Zarkti. An automatic Feature-based tool selection approach for turning process based on data from Sandvik Coromant. Xème Conférence Internationale : Conception et Production Intégrées, Dec 2015, Tanger, Morocco. hal-01260833 HAL Id: hal-01260833 https://hal.archives-ouvertes.fr/hal-01260833 Submitted on 22 Jan 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. An Automated Feature-Based Cutting Tool Selection Approach For Turning Process Based On Data From Sandvik Coromant Oussama Jaider 1, Abdelilah El Mesbahi 1, Ahmed Rechia 1, Hanae Zarkti 1 1: Department of Mechanical Engineering Faculty of Sciences and Technics Tangier, Morocco [email protected], [email protected], [email protected], [email protected] Selection of a proper cutting tool plays a significant role in conditions, and optimum sequences affect directly the achieving consistent quality and controlling the overall cost in an workpiece cost [1]. More than one hundred CAPP systems integrated manufacturing environment. The present paper have been reported in the literature. However, the link describes an approach to build of a computer interface support between CAD and CAPP systems is still not integrated as for automatic tool selection for manufacturing features in a desired [4]. On one hand, the data of the neutral files such as turning process. Data-tools were collected from recent Machining STEP, IGES generated by CAD systems consist of geometric Handbook of world's leading manufacturer of tools, Sandvik and topological information, these data cannot be used for Coromant. This application works conjointly with an automatic direct application to process planning, since CAPP systems feature recognition system for rotational part. An example is require part form feature information, not geometric and given to show how this approach, systematically, leads to the topological information, CAD is usually geometry-based, choice of cutting tool packages for specific part features. whilst CAPP/CAM are feature-based and domain-dependent, Keywords— CAD/CAM; CAPP; Manufacturing Feature which results in unsatisfactory practical implementation, or a Recognition; Automatic cutting-tool selection for turning. common weakness of CAPP systems [5]. On the other hand, Geometrical and Dimensional Tolerancing (GD&T), surface roughness and technological data required for downstream NTRODUCTION I. I applications are not embedded in the geometric model for the Process planning is an activity that consists in selecting the most of current CAD systems, which are lacking of necessary processes, tools, appropriate parameters and appropriate data structure to admit them. CAD models seem to operation sequencing to manufacture a part. The traditional include these data as seen in the drawings, nonetheless, these way to solve process-planning problems is to leave it to the data are not real attributes of CAD models but simply manufacturing experts that translate the global geometry of the represented as text on the drawing [6]. Another problem is part into a group of machining features well adapted to a presented at the tool selection stage; a broad range of tool defined machining process, relying on their own experience. geometries is available to suit various practical applications This manual approach is time consuming and usually, not and machining systems. As a consequence, the tool/process consistent as the quality of the process plan depends on the designer has to wade through voluminous machining data planner’s experience [1, 2]. Disadvantages of manual handbooks and catalogues of cutting tools with different approaches led to development of automated approaches that materials, coatings, geometries, and chip-groove aimed to reduce the probability of errors and inconsistencies. configurations for high wear resistance and effective chip Computer Aided Manufacturing Process Planning is one of the breaking. Consequently, process planners are forced to choose most important advances in the area of manufacturing and recommend suboptimal cutting conditions [7]. The aim of engineering, which plays a critical role linking Design and this paper consists in linking automatically a feature Manufacturing. CAPP determines automatically the use of recognition module with an automatic cutting tool selection available resources, including machines, cutting inserts, module. Cutting tools and holders with their parameters are holders, appropriate machining parameters such as cutting selected from the machining data handbook of Sandvik speed, feed rate, depth of cut, and generates automatic Coromant [8], to form a tool package related to each feature, sequences of operations and instructions to convert a row based on many criterias, rules and machining design material into a required product with good surface finish [3]. assumptions, and taking into account data related to machining The production cost of a manufacturing component depends features. The proposed methodology and system architecture upon cost of workpiece material, tooling cost, and recurring are addressed in the following sections. expenses. Thus, it is clear that the only scope to reduce the overall cost of a workpiece is to focus on the tooling cost and machining time. Selecting an optimum insert, optimum cutting Xème Conférence Internationale : Conception et Production Intégrées, CPI 2015, 2-4 Décembre 2015, Tanger - Maroc. Xth International Conference on Integrated Design and Production , CPI 2015, December 2-4, 2015, Tangier - Morocco. Identify applicable sponsor/s here. If no sponsors, delete this text box (sponsors). II. LITERATURE REVIEW hand of cut, size, and so on. For the insert, some parameters to There have been many attempts for automatic tool define are the shape of insert, size, grade, nose radius, selection, determination of the optimum cutting conditions, geometry, and finally cutting conditions. The Machining and generation of optimum sequences of operations. Recently, Handbook of Sandvik Coromant is divided into three main various systems are using decision tables and decision trees categories, general turning, parting and grooving, and for the automated and optimized selection of cutting tools. threading. In this paper, we presented the methodology of Oral & Cakir [1] developed a modular system for automatic cutting tool selection for general turning. The first step for tool selection and sequence optimisation for rotational parts selecting cutting tools is to select the clamping system which which is capable of selecting tools for face grooving, depends on clamping possibilities available in turret/spindle. threading, internal turning, drilling, boring and internal The second step consists in selecting the tool holder. Selecting recess/groove turning operations. Tool selection module uses a tool holder depends on the type of operation and clamping knowledge such as geometry of workpiece (feature possibilities. For a good stability, a holder with the biggest recognition), surface finish, shape, location and direction, size is recommended. The third step concerns selection of material of the workpiece, and machinability data. The suiting insert. The choice of some parameters of insert is developed system is based on ‘‘Rank Order Clustering’’ described as follow. For the shape of insert, the manufacturer which uses a matrix that holds the diameters of the features gives a recommended shape of insert depending on the and the tools that machine these features to generate tools and operation, e.g., insert with a point angle of 80° is operation sequences for minimum tool changing. Balic & Cus recommended for longitudinal turning operations. Size of [9] developed an automatic cutting tool selection system that insert (L) depends on type of cut, and then on depth of cut. used neutral network (NN) to select tools for internal and Notice that for every shape of insert, the total cutting edge external turning, including roughing and finishing operations. length (La max) is given, e.g. for a rhombic 80° insert, La max Tool selection depends on the shape of workpiece such as the is given in (1). approach and/or exit angle on one hand, and on the other hand, depends on the limitations of cutting tools such as cutting- 2 (1) edge angle and the nose angle. Mookherjee & Bhattacharyya La max = L [10] Used an expert system for tool selection, which 3 automatically selects the appropriate turning tools and inserts as well as milling inserts, the material and the geometry, based La max must be bigger than the effective cutting edge on the requirement of the user. The main elements that length (La) which is given in (2). influence the tool selection are: workpiece material, geometry, surface roughness, machine tool characteristics, workholders, ap (2) and so on. Cutting conditions
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