A Meta Knowledge Base for Machining Process Selection

1991 ◽  
Author(s):  
Jami J. Shah ◽  
David W.-C. Hsiao
Keyword(s):  
Knowledge Base ◽  
Machining Process ◽  
Process Selection ◽  
Design Features ◽  
Machining Processes ◽  
Design And Manufacturing ◽  
Manufacturing Applications ◽  
Machining Operations ◽  
Manufacturability Evaluation ◽  
Manufacturing Features

Abstract The work reported here is part of a larger project aimed at developing a system for concurrent design and manufacturing. One of the manufacturing applications is manufacturability evaluation performed on design models based on features. The model is not restricted to a limited set of predefined features, but can contain user-defined features that the application program, such as the Manufacturability Evaluator, has no prior knowledge of. A methodolgy was developed whereby the manufacturability evaluator could understand design features from a manufacturing viewpoint and automonously generate feasible machining process sequences for undocumented features. This requires that the system decompose design features into some generic fundamental terms and compare this representation to the capabilities of common machining operations. Therefore, the system needs deeper knowledge about machining processes than that afforded by production rules. In our method, undocumented features are partially evaluated to derive the faces intersecting at concave edges. An algorithm is developed to organize these faces into manufacturing features. The meta knowledge base captures the fundamental characteristics of a machining process by its elementary producible volume and the limitations of tool motions. This representation enables the manufactuability evaluator to create alternative machining sequences for undocumented features.

Design for Manufacturing: geometric manufacturability evaluation for 5-axis milling

2021 ◽  
pp. 1-43
Author(s):  
Niechen Chen ◽  
Matthew C. Frank
Keyword(s):  
Tool Path ◽  
Machining Process ◽  
Tool Geometry ◽  
Tool Selection ◽  
Machining Processes ◽  
Planning Decisions ◽  
Manufacturing Process Planning ◽  
Component Design ◽  
Manufacturing Applications ◽  
Manufacturability Evaluation

Abstract The geometric manufacturability of a part design is an important decision factor for various manufacturing applications and is especially critical for the machining process. In machining, the geometric manufacturability is primarily determined by the geometric accessibility, which has a direct impact on decisions such as setup planning, tool selection, tool orientation selection/adjustment, and the tool path strategies. These planning decisions can have significant impact on cycle time and cost. Thus, it can be justified that geometric manufacturability is one of the essential product design aspects that must be evaluated for machining processes. Being able to evaluate the geometric manufacturability will not only provide a part design metric but also offer a new approach for manufacturing process planning and optimization. This research proposes a new method for determining the geometric manufacturability of a part designed for 5-axis milling. In this work, the part design is input as polygon mesh boundary represented models, the 3D tool geometry is sampled to line segments, the 3D geometric accessibility of the part design is calculated, and a new metric for 5-axis milling manufacturability evaluation is developed. Case studies on complex mechanical component design examples are conducted to validate the method.

Späne- und Stauberfassung bei der CFK-Zerspanung*/Extraction of chips and dust in machining operations of CFRP. Investigation on CFRP dry machining in industrial applications

2018 ◽  
Vol 108 (06) ◽  
pp. 473-478
Author(s):  
A. Gebhardt ◽  
M. Schneider
Keyword(s):  
Industrial Applications ◽  
Machining Process ◽  
Dry Machining ◽  
Machining Processes ◽  
Dry Cutting ◽  
Clamping System ◽  
Cutting Processes ◽  
Machining Operations

Bauteile aus CFK (kohlenstofffaserverstärkte Kunststoffe) werden meist spanend endbearbeitet. Diese Bearbeitung kann unter Überflutung durch KSS (Kühlschmierstoffe) oder trocken stattfinden. Die hier vorgestellte Studie zeigt für die Trockenzerspanung, wie die notwendige Erfassung von Stäuben und Spänen stattfindet, welche Technologien eingesetzt werden und wie eine Maschinen- und Bauteilreinigung aussieht.   A machining process is mostly used as a last step in the production of workpieces made of CFRP. In this machining process lubricants may be used or dry cutting processes are applicated. The here presented study shows for dry machining processes, which technologies are used for the dust and chip extraction. Furthermore, the techniques for the cleaning of the machine, the clamping system and workpiece are presented.

Application of AI in Optimization of Machining Conditions

1991 ◽  
Author(s):  
Tongjian Chen ◽  
Weiping Wang ◽  
Xiaofang Wang
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Optimization Method ◽  
Machining Process ◽  
Effective Algorithm ◽  
Machining Processes ◽  
Machining Conditions

Abstract In these days researchers have been attempting to build up a versatile optimization method which is adaptable for all the purposes but no ideal one has been appeared. The paper proposes a new consideration for practising the optimization of machining conditions in various machining processes on workshop scenes. The optimizing strategy is through an expert system of selection to determine a most effective algorithm from the current sophiticated optimizing algorithms collected in the knowledge base as subroutines, then to run the algorithem program and obtain the optimized results by means of the interactive function of expert system. The method not only has the versatile property to be used in various sorts of machining easily but also keeps the completeness of each sophiticated optimizing method developed for a special machining process without compromise.

A Knowledge Base for Non-Traditional Machining Process Selection

2008 ◽  
Vol 4 (4) ◽  
pp. 37-46 ◽  
Author(s):  
Edison Chandraseelan.R. ◽  
Jehadeesan R. Jehadeesan R. ◽  
Raajenthiren M. Raajenthiren M.
Keyword(s):  
Knowledge Base ◽  
Machining Process ◽  
Process Selection

scholarly journals Review on Effects of Electrode in Electrical Discharge Machining Process

2021 ◽  
Vol 8 (5) ◽  
pp. 91-95
Author(s):  
Nayan J. Patel
Keyword(s):  
Electrical Discharge ◽  
Electrode Materials ◽  
Electrical Discharge Machining ◽  
Research Work ◽  
Vital Role ◽  
Machining Process ◽  
Process Selection ◽  
Machining Processes ◽  
Electrically Conductive ◽  
Edm Process

Electrical Discharge Machining is one of the non-conventional machining processes used for electrically conductive material. It is widely used for manufacturing complicated parts which are tough to be produced by conventional manufacturing processes. It is based on thermoelectric energy between workpiece and electrode. Metal is removed by melting and vaporizing because of spark occurs in the gap between electrode and workpiece. Workpiece and electrode must have electrically conductive to generate a spark. The performance of the EDM process is largely depends on the electrode. Electrode is considered as tool in EDM process. Selection of the electrode material plays vital role in the EDM process. Different electrode materials have different properties. Hence, the performance of the EDM process changes with different materials. Researchers have used different materials as electrode to investigate the effects of materials and to improve the performance of EDM process. This paper reviews the research work carried out in the field of materials and manufacturing methods for electrodes in EDM process. Keywords: [EDM, Electrodes, Materials, Manufacturing Process].

scholarly journals Selection of the most suitable non-conventional machining processes for ceramics machining by using MCDMs

2015 ◽  
Vol 47 (2) ◽  
pp. 229-235 ◽  
Author(s):  
D. Petkovic ◽  
M. Madic ◽  
G. Radenkovic
Keyword(s):  
Decision Making ◽  
Machining Process ◽  
Multi Criteria Decision Making ◽  
Process Selection ◽  
Machining Processes ◽  
Conventional Machining ◽  
Selection Of

Selection of the most suitable non-conventional machining process (NCMP) for a ceramics machining represents a multi-criteria decision making (MCDM) problem. This paper describes the application of relatively novel MCDM methods for selecting the most suitable NCMP for the ceramics machining. By applying WASPAS and COPRAS methods, ten NCMPs (alternatives) were ranked based on the ten criteria. Comparison of obtained ranking performances with other MCDM methods used by previous researchers was carried out in order to demonstrate WASPAS and COPRAS applicability and capability for non-conventional machining process selection.

Results of an Experimental Research Concerning the Evaluation of Machinability by Drilling under Constant Feed Force

2015 ◽  
Vol 809-810 ◽  
pp. 147-152 ◽  
Author(s):  
Vasile Manole ◽  
Laurenţiu Slătineanu ◽  
Sergiu Constantin Olaru ◽  
Irina Beşliu ◽  
Pavel Iurea ◽  
...  
Keyword(s):  
Machining Process ◽  
Normal Operation ◽  
Time Interval ◽  
Experimental Setup ◽  
Machining Processes ◽  
Drilling Tool ◽  
Feed Force ◽  
Machining Operations ◽  
Tool Diameter ◽  
The Impact

The knowledge about machinability indices for distinct machining processes allows finding the most appropriate values of the relevant factors for definite machining operations. Several criteria can be used to characterize machinability, such as the tool wear, the magnitude of the cutting forces, the roughness of the machined surfaces, or the shape of the chips that are formed during the machining process. One of the methods for studying the machinability is based on the analysis of drilling operations that are made under constant feed force. A drill press is probably the most readily available device to implement an experimental setup for drilling machinability tests. In normal operation, however, the chip accumulation at the dead end of the machined hole has a detrimental impact on the results of machinability tests, so that an improved setup was designed. A two-level, full factorial experiment with three independent factors (the drilling tool diameter, the rotational speed of the spindle and the feed force) has proven the suitability of the new experimental setup. Using it, we could find a power-type empirical model that explains the impact of the input factors in the depth of a hole that is machined in a pre-defined time interval.

Numerical-Experimental Correlation of Distortions Induced by Machining Process on Thin-Walled Nickel Super Alloy Forged Components

2012 ◽  
Vol 504-506 ◽  
pp. 1299-1304 ◽  
Author(s):  
Antonio del Prete ◽  
Antonio Alberto de Vitis ◽  
Rodolfo Franchi
Keyword(s):  
Numerical Models ◽  
Model Development ◽  
Aircraft Engine ◽  
Machining Process ◽  
Work Piece ◽  
Machining Processes ◽  
Thin Walled ◽  
Main Components ◽  
Machining Operations

AeroEngines main components made by nickel super alloys are mainly obtained by machining of large forged components. The work piece machining process generates some distortions that may also be relevant. In this contest, in many cases the removed volume in the machining operations represents a large percentage of the forged component in order to obtain the thin-walled wanted geometry. Due to this reason, the residual bulk stresses induced by the process history can lead to significant 3D geometric distortions in the machined component with unacceptable dimensions and shapes of the obtained product for comparison with the wanted geometry. Moreover, it is a matter of fact how, the final component distortions depend by the cutting strategy adopted in the machining process. The experimental study of such cutting strategies on real components are particularly time consuming and costly and for this reason the chance to study the problem using reliable numerical models it is particularly welcome. In the present work authors reports the numerical model development of the forging and machining processes needed for the production of a aircraft engine component and the comparison of the obtained results with the ones physically measured. The objective is to develop and validate a modeling method able to predicts the shape and the magnitude of the distortion induced by the machining operation on the considered component and to establish a possible strategy to suggest machining working steps able to improve the quality of the manufactured component reducing the needed production time.

Part Dimensional Error and Its Propagation Modeling in Multi-Operational Machining Processes

2003 ◽  
Vol 125 (2) ◽  
pp. 255-262 ◽  
Author(s):  
Qiang Huang ◽  
Jianjun Shi ◽  
Jingxia Yuan
Keyword(s):  
State Space Model ◽  
Machining Process ◽  
Kinematic Modeling ◽  
Machining Processes ◽  
Dimensional Error ◽  
Physical Relationship ◽  
Modeling And Control ◽  
Propagation Modeling ◽  
Variation Propagation ◽  
Machining Operations

In a multi-operational machining process (MMP), the final product variation is an accumulation or stack-up of variation from all machining operations. Modeling and control of the variation propagation is essential to improve product dimensional quality. This paper presents a state space model and its modeling strategies to describe the variation stack-up in MMPs. The physical relationship is explored between part variation and operational errors. By using the homogeneous transformation approach, kinematic modeling of setup and machining operations are developed. A case study with real machined parts is presented in the model validation.

scholarly journals Characteristics and Wear Mechanisms of TiAlN-Based Coatings for Machining Applications: A Comprehensive Review

Metals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 260
Author(s):  
Vitor F. C. Sousa ◽  
Francisco José Gomes Da Silva ◽  
Gustavo Filipe Pinto ◽  
Andresa Baptista ◽  
Ricardo Alexandre
Keyword(s):  
Mechanical Properties ◽  
Wear Behavior ◽  
Machining Process ◽  
Machining Processes ◽  
Process Improvements ◽  
Tool Coatings ◽  
Recent Developments ◽  
Machining Operations ◽  
Industry Sectors ◽  
Cutting Behavior

The machining process is still a very relevant process in today’s industry, being used to produce high quality parts for multiple industry sectors. The machining processes are heavily researched, with the focus on the improvement of these processes. One of these process improvements was the creation and implementation of tool coatings in various machining operations. These coatings improved overall process productivity and tool-life, with new coatings being developed for various machining applications. TiAlN coatings are still very present in today’s industry, being used due to its incredible wear behavior at high machining speeds, high mechanical properties, having a high-thermal stability and high corrosion resistance even at high machining temperatures. Novel TiAlN-based coatings doped with Ru, Mo and Ta are currently under investigation, as they show tremendous potential in terms of mechanical properties and wear behavior improvement. With the improvement of deposition technology, recent research seems to focus primarily on the study of nanolayered and nanocomposite TiAlN-based coatings, as the thinner layers improve drastically these coating’s beneficial properties for machining applications. In this review, the recent developments of TiAlN-based coatings are going to be presented, analyzed and their mechanical properties and cutting behavior for the turning and milling processes are compared.

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