A Digital Twin of Multi-Axis Machine Tool for Micro Process Planning

2020 ◽  
Author(s):  
Fumiki Tanaka
Keyword(s):  
Machine Tool ◽  
Process Planning ◽  
Machine Tools ◽  
High Performance ◽  
Production Systems ◽  
Planning System ◽  
Digital Twin ◽  
Virtual Machining ◽  
Process Planning System ◽  
Case Data

Abstract Achieving high performance of machining production systems requires the use of multi-axis machine tools. In order to maximize the performance of multi-axis machine tools, micro process planning for creating machining data is important. Many researches on micro process planning mainly focused on 3-axis machining. As promising approaches among them, a micro process planning system was proposed that reuses actual machining cases and analyzes case data to derive the necessary rules. However, it is not always effective for multi-axis machining, because enough case data are not collected for micro process planning of a specific multi-axis machine tool. In this study, a digital twin of multi-axis machine tool in cyberspace is proposed to collect real and virtual machining case data for micro process planning.

scholarly journals Development of a Process Planning System for 5-aixs Controlled Machine Tool (1st Report)

2007 ◽  
Vol 73 (9) ◽  
pp. 1019-1024 ◽  
Author(s):  
Keiichi NAKAMOTO ◽  
Takaaki INAOKA ◽  
Keiichi SHIRASE ◽  
Toshimichi MORIWAKI
Keyword(s):  
Machine Tool ◽  
Process Planning ◽  
Planning System ◽  
Process Planning System

Customization of a Micro Process Planning System for an Actual Machine Tool Based on Updating a Machining Database and Generating a Database Oriented Planning Algorithm

2012 ◽  
Author(s):  
Shinji Igari ◽  
Fumiki Tanaka ◽  
Masahiko Onosato
Keyword(s):  
Decision Tree ◽  
Machine Tool ◽  
Process Planning ◽  
Cutting Tools ◽  
Regression Tree ◽  
Planning System ◽  
Regression Equations ◽  
Process Planning System ◽  
Planning Algorithm ◽  
Tree Method

To generate optimal machining information, an automatically customizable micro process planning system that reflects the change of properties of an actual machine tool is proposed. The system consists of an updatable machining database and a database oriented micro process planning algorithm. A machining database is updated based on analyzing NC data that are adaptively generated for an actual machine tool by skilled process planners. From the updated machining database, a database oriented micro process planning algorithm is generated by a decision tree and a regression tree. Machining strategy and cutting tools are determined using IF-THEN rules that are generated from the database by decision tree method. Cutting conditions were determined from a feasible regression equation. Regression equations and selection rules of these equations were generated from the database by regression tree method. The example of micro process planning using the generated algorithm is also shown.

An Intelligent Process Planning System Based on Formal Manufacturing Capability Models

2013 ◽  
Author(s):  
Samira Sadeghi ◽  
Farhad Ameri
Keyword(s):  
Machine Tool ◽  
Process Planning ◽  
Tool Path ◽  
Cutting Tools ◽  
Feature Model ◽  
Planning System ◽  
Machining Parameters ◽  
Is Implementation ◽  
Process Planning System ◽  
Intelligent Process

This paper presents an intelligent process planning system for generating machining instructions for prismatic parts. The generated instruction includes machine tool information, machining sequence, tool and setup information, machining parameters, and tool path. In the proposed system, part information is received as a STEP AP224 feature model. One novel aspect of the proposed system is implementation of a formal OWL ontology for representation of machine tool and cutting tool capability knowledge as well as part information. OWL-based ontology enables automated ontological reasoning during process planning. Also, SWRL rule modeling approach is adopted for identifying feasible machine tools and cutting tools and also specifying process parameters. A proof-of-concept implementation is presented as well in this paper.

Applications of Software Engineering to Manufacturing Process Planning

2008 ◽  
Vol 8 (3) ◽  
Author(s):  
V. Sundararajan ◽  
Paul K. Wright
Keyword(s):  
Software Development ◽  
Process Planning ◽  
Tool Path ◽  
Numerical Control ◽  
Planning System ◽  
Cnc Milling ◽  
Design Development ◽  
Tool Selection ◽  
Process Planning System ◽  
New Algorithms

Agile methods of software development promote the use of flexible architectures that can be rapidly refactored and rebuilt as necessary for the project. In the mechanical engineering domain, software tends to be very complex and requires the integration of several modules that result from the efforts of large numbers of programmers over several years. Such software needs to be extensible, modular, and adaptable so that a variety of algorithms can be quickly tested and deployed. This paper presents an application of the unified process (UP) to the development of a research process planning system called CyberCut. UP is used to (1) analyze and critique early versions of CyberCut and (2) to guide current and future developments of the CyberCut system. CyberCut is an integrated process planning system that converts user designs to instructions for a computer numerical control (CNC) milling machine. The conversion process involves algorithms to perform tasks such as feature extraction, fixture planning, tool selection, and tool-path planning. The UP-driven approach to the development of CyberCut involves two phases. The inception phase outlines a clear but incomplete description of the user needs. The elaboration phase involves iterative design, development, and testing using short cycles. The software makes substantial use of design patterns to promote clean and well-defined separation between and within components to enable independent development and testing. The overall development of the software tool took about two months with five programmers. It was later possible to easily integrate or substitute new algorithms into the system so that programming resources were more productively used to develop new algorithms. The experience with UP shows that methodologies such as UP are important for engineering software development where research goals, technology, algorithms, and implementations show dramatic and frequent changes.

Sign in / Sign up

Export Citation Format

Share Document