Cutting Tool Selection: An Intelligent Methodology and its Interfaces with Technical and Planning Functions

1992 ◽  
Vol 206 (1) ◽  
pp. 49-60 ◽  
Author(s):  
P G Maropoulos
Keyword(s):  
Machine Tool ◽  
Process Planning ◽  
Production Control ◽  
Cutting Tool ◽  
Selection Process ◽  
Shop Floor ◽  
Local Optimum ◽  
Tool Selection ◽  
Machining Processes ◽  
Selection Methodology

This paper presents a new cutting tool selection methodology, namely the intelligent tool selection (ITS), which covers the whole spectrum of tool specification and usage in machining environments. The selection process has five distinct levels and starts by deriving a local optimum solution at the process planning level, which is progressively optimized in the wider context of the shop-floor. Initially, multiple tools are selected for each machining operation and tool lists are formed by sorting selected tools in order of preference. The second selection level provides a tooling solution for a component by considering all the operations required as well as the characteristics of the machine tool. The selected tools are then rationalized by forming a set of tools for machining a variety of components on a given machine tool at level 3 and by increasing the use of common and standard tools within a group of machines at level 4. Finally, the fifth level aims at reducing tool inventory by classifying existing tools into categories according to their usage and is also used for introducing new tools into the manufacturing system. The selection method allows the implementation of the minimal storage tooling (MST) concept, by linking the ordering of new and replacement tools to production control. ITS also uses the concept of tool resources structure (TRS), which specifies all tooling resources required for producing a component. By using the framework provided by ITS, TRS and MST it can be shown that tooling technology interfaces with diverse company functions from design and process planning to material/tool scheduling and tool management. The selection methodology results in higher utilization of tools, improved efficiency of machining processes and reduced tool inventory.

scholarly journals A Holonic-Based Self-Learning Mechanism for Energy-Predictive Planning in Machining Processes

Processes ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 739 ◽  
Author(s):  
Seung-Jun Shin ◽  
Young-Min Kim ◽  
Prita Meilanitasari
Keyword(s):  
Machine Tool ◽  
Process Planning ◽  
Predictive Modeling ◽  
Manufacturing Systems ◽  
Minimum Energy ◽  
Hybrid Learning ◽  
Prototype System ◽  
Learning Approach ◽  
Machining Processes ◽  
Self Learning

The present work proposes a holonic-based mechanism for self-learning factories based on a hybrid learning approach. The self-learning factory is a manufacturing system that gains predictive capability by machine self-learning, and thus automatically anticipates the performance results during the process planning phase through learning from past experience. The system mechanism, including a modeling method, architecture, and operational procedure, is structured to agentize machines and manufacturing objects under the paradigm of Holonic Manufacturing Systems. This mechanism allows machines and manufacturing objects to acquire their data and model interconnection and to perform model-driven autonomous and collaborative behaviors. The hybrid learning approach is designed to obtain predictive modeling ability in both data-existent and even data-absent environments via accommodating machine learning (which extracts knowledge from data) and transfer learning (which extracts knowledge from existing knowledge). The present work also implements a prototype system to demonstrate automatic predictive modeling and autonomous process planning for energy reduction in milling processes. The prototype generates energy-predictive models via hybrid learning and seeks the minimum energy-using machine tool through the contract net protocol combined with energy prediction. As a result, the prototype could achieve a reduction of 9.70% with respect to energy consumption as compared with the maximum energy-using machine tool.

scholarly journals A Framework of Next Generation Adaptive CNC Controller

2019 ◽  
Vol 8 (11S2) ◽  
pp. 288-293
Keyword(s):  
Process Planning ◽  
Code Generation ◽  
Numerical Control ◽  
Parameter Determination ◽  
Shop Floor ◽  
Tool Selection ◽  
Control Machine Tool ◽  
Nc Code ◽  
Cnc Controller ◽  
Machining Parameter

Modern manufacturing industries have increasingly demanded to bring comprehensive input data described using high-level languages such as STEP-NC, rather than outdated G&M codes into computer numerical control machine tool levels. In current dynamic shop floor environments, predefined numerical control (NC) command generated in early stages is regularly found unusable or unsuitable for the dedicated resources, causing useless efforts used up in the initial process planning and NC code generation. This research aims to propose a new structure of an adaptive CNC controller by taking the advantages of well-known IEC61499 and STEP-NC standards. For realising adaptive CNC controller capability, integration of the native process planning decision-making function into CNC controller will be established. The activities such as cutting tool selection, machining parameter determination and toolpath generation will be issued automatically by the controller itself that subject to available online machine resources. The generic STEP-NC file is employed as data input and arranged accordingly in the IEC 61499 function block software editor. The system is developed in the JAVA environment by using proposed language.

Rules of Precedence as Basis to Generate Manufacturing Routes and Process Planning

2012 ◽  
Vol 502 ◽  
pp. 115-120
Author(s):  
O.L. Agostinho ◽  
A. Batocchio ◽  
I. Bento da Silva
Keyword(s):  
Machine Tool ◽  
Process Planning ◽  
Manufacturing Process ◽  
Cutting Tool ◽  
Work Piece ◽  
Manufacturing Processes ◽  
Data Bases ◽  
Logical Approach ◽  
Structured Knowledge ◽  
Tool Cutting

This paper presents a methodology to generate manufacturing routes and operations using rules of precedence to provide logical approach in their dimensioning and chaining. The rules of precedence order and prioritize the knowledge of various manufacturing processes, taking into account the theories of machining, forging, assembly, and heat treatments; also, utilizes the theories of accumulation of tolerance and process capability, between others. The proposed methodology requires development of manufacturing data bases of manufacturing process , tolerances and capabilities, deviations of the machine tool cutting tool fixture device and work piece . The rules of precedence make viable the generation of manufacturing routings and operations, through the usage of structured knowledge, instead of tacit one .This approach allows the structured development of manufacturing routes, which can be deployed to engineers working in the areas of manufacturing engineering.

Magnetic Levitation and Rotation for Feasibility of Free-Form Machining

2014 ◽  
Vol 496-500 ◽  
pp. 1048-1051
Author(s):  
Alexander H. Shih ◽  
Steven Y. Liang
Keyword(s):  
Machine Tool ◽  
Cutting Tool ◽  
Magnetic Levitation ◽  
Free Form ◽  
Physical Force ◽  
Machining Processes ◽  
New Device ◽  
Rotating Surface ◽  
Sharp Edges ◽  
Magnetic Field Generator

This paper presents a new transformative manufacturing methodology for free-form machining. An experimental prototype machine is constructed to levitate and rotate an object attached with sharp edges, which act as a cutter for the purpose of performing machining processes. This device aims to lead to a technological breakthrough, overcoming the limitation of the workpiece features, and achieve greater free-form machining capability. The construction of curved holes and interior surfaces are constrained by the geometry of the machine tool. The proposed concept creates a new device that uses a magnetic field generator as a base. It is loaded with a constant power imposing a vertical physical force to balance gravity and stabilize the cutting tool. With the uniqueness of a preferred orientation between the tool and the base, a rotating surface placed below the base permits the rotation of the cutting tool in order to achieve desired tool rotation speed. A smooth and controlled cut is achieved on a soft material. The result shows the feasibility of the device to achieve similar outcomes as a machine tool.

scholarly journals FEM and Analytical Modeling of the Incipient Chip Formation for the Generation of Micro-Features

Materials ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 3789
Author(s):  
Michele Lanzetta ◽  
Marco Picchi Picchi Scardaoni ◽  
Armin Gharibi ◽  
Claudia Vivaldi
Keyword(s):  
Material Properties ◽  
Analytical Modeling ◽  
Cutting Tool ◽  
Sustainable Manufacturing ◽  
Cutting Parameters ◽  
Micro Machining ◽  
Machining Processes ◽  
Steel Alloys ◽  
Diamond Blade ◽  
Micro Features

This paper explores the modeling of incipient cutting by Abaqus, LS-Dyna, and Ansys Finite Element Methods (FEMs), by comparing also experimentally the results on different material classes, including common aluminum and steel alloys and an acetal polymer. The target application is the sustainable manufacturing of gecko adhesives by micromachining a durable mold for injection molding. The challenges posed by the mold shape include undercuts and sharp tips, which can be machined by a special diamond blade, which enters the material, forms a chip, and exits. An analytical model to predict the shape of the incipient chip and of the formed grove as a function of the material properties and of the cutting parameters is provided. The main scientific merit of the current work is to approach theoretically, numerically, and experimentally the very early phase of the cutting tool penetration for new sustainable machining and micro-machining processes.

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