scholarly journals Sequence Planning and Tool Selection for Bending Processes of 2.5D Sheet Metals

2014 ◽  
Vol 6 ◽  
pp. 204930 ◽  
Author(s):  
Alan C. Lin ◽  
Chao-Fan Chen

Planning of an appropriate bending sequence is one of the most important aspects in the processing of sheet metals as the appropriateness of the plan affects correct selection of bending tools and feasibility of bending processes. This study aims to propose a set of principles to be followed for the planning of bending sequences and selection of bending tools for 2.5D sheet metals. To this end, we first define basic bending patterns by characterizing each pattern with a set of operation rules. The sheet metal is then decomposed into a series of bending patterns that is in turn used in the planning of bending sequences. In order to select the bending tools, we combine the contours of each bending operation, choose appropriate bending punches from the bending-tool database, and then undertake an interference check with the bending contours.

Author(s):  
P G Maropoulos ◽  
P A T Gill

This paper presents the logic of a knowledge-based system for turning tool selection. The selection philosophy is based on machining performance and the system uses information regarding tools and cutting data from ‘approved’ operations which have been proved on machine tools following a specific testing procedure. For any new operation, rules are used to identify its level of similarity to previously performed, approved operations. The similarity criteria are based on metal cutting theory and practical engineering knowledge and incorporate considerations in relation to the component and cutting profile geometry, material type and operation type as well as tool and insert characteristics. The goal is to identify similar approved operations, retrieve the corresponding tool and cutting data and sort them in order of preference. A key function of the system is that according to the level of similarity, the retrieved information is either used as it is or is automatically modified to suit the new operation. The main benefits from using the system are improved engineering consistency in the decision making for selecting tools and cutting conditions, improved utilization of tools and definition of efficient machining conditions.


2014 ◽  
Vol 635-637 ◽  
pp. 589-593 ◽  
Author(s):  
Hua Bing Ouyang

A framework of an intelligent tool selection system for milling based on STEP-NC machining features is proposed. The main objective of the research is to develop a procedure for the selection of cutting tools. This will help the planners to select the optimal cutting tools. The proposed system consists of the knowledge base module, the inference engine, the user interface and the database. The implementation of the presented system is developed in Solidworks. An example is given to demonstrate the feasibility and efficiency of the prototype system. As a result, this research shows a high potential to aid the development of tool selection and process planning milling system.


2011 ◽  
Vol 692 ◽  
pp. 16-23 ◽  
Author(s):  
Pedrofa Fernández ◽  
Braulio Álvarez ◽  
D. Blanco ◽  
E. Cuesta ◽  
Sabino Mateos

In this work the development of a virtual machine for the simulation of the sheet metal bending process is presented. The developed software is based on SolidEdge® as commercial CAD base, and allows the student to design the whole sheet metal part in a 3D environment. The application guides the student during all process, including the selection of the press brake and the tools (dies and punches) by means of a graphical interface. Finally, the bending sequence is introduced and the application simulates the bending process. This way the student can see the problems during the manufacturing process, in particular collisions, that arise from the design of the part, from the tools selected or, in most cases, from the bending sequence. Finally, the student should fix these problems in order to manufacture the part.


2005 ◽  
Vol 6-8 ◽  
pp. 263-270 ◽  
Author(s):  
Dirk Cattrysse ◽  
P. Collin ◽  
Joost R. Duflou ◽  
T.H.M. Nguyen ◽  
Dirk Van Oudheusden

Both the topics of Computer Aided Process Planning and Production Planning in the context of sheet metal air bending have been presented as standalone topics previously. This paper will focus on the interaction between both modules. Choices made by the CAPP-module seem to influence the possible gains that can be obtained in production planning and vice versa. The used procedures for both the CAPP module, including process planning and tool selection for air bending, and the Production Planning module, modelling the production planning as a Travelling Purchaser Problem, are described. The different areas of interaction between both modules are also specified. Results demonstrate that the interaction between both modules has a significant impact and should be taken into account in an integrated process and production planning system.


2005 ◽  
Vol 6-8 ◽  
pp. 287-294 ◽  
Author(s):  
T.H.M. Nguyen ◽  
Joost R. Duflou ◽  
Jean Pierre Kruth

Sheet metal bending is a metal forming process, in which flat sheets are bent along straight bend lines in a specific bending sequence to form three-dimensional parts. A large number of tools with different characteristics can be used in this process. The task to choose the right tooling for a requested sheet metal part is however one of the bottle necks in process planning. An inefficient tool selection may result in failure of finding a feasible bending sequence. In previous work, methodologies for tool selection and optimization have been proposed. The presented paper describes a framework to implement these methodologies into a system that allows automatic tool selection in consistent consideration of bend sequencing. As a result, automated and optimized tool selection for sheet metal bending is achieved, as illustrated by performance test results for a robust software implementation.


Methodology ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 177-188 ◽  
Author(s):  
Martin Schultze ◽  
Michael Eid

Abstract. In the construction of scales intended for the use in cross-cultural studies, the selection of items needs to be guided not only by traditional criteria of item quality, but has to take information about the measurement invariance of the scale into account. We present an approach to automated item selection which depicts the process as a combinatorial optimization problem and aims at finding a scale which fulfils predefined target criteria – such as measurement invariance across cultures. The search for an optimal solution is performed using an adaptation of the [Formula: see text] Ant System algorithm. The approach is illustrated using an application to item selection for a personality scale assuming measurement invariance across multiple countries.


Sign in / Sign up

Export Citation Format

Share Document