scholarly journals Modularized Cutting Tool Selection Expert System

2014 ◽  
Vol 8 (1) ◽  
pp. 892-898
Author(s):  
Chen Wang ◽  
Wu Zhao ◽  
Ling Chen ◽  
Kai Zhang ◽  
Xin Guo
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Feature Recognition ◽  
Cutting Tool ◽  
Tool Material ◽  
Tool Selection ◽  
Type Calculation ◽  
Rule Bases ◽  
Cutting Problem ◽  
Selection Of

This paper is to present a rule-based cutting tool selecting expert system which has knowledge modules and rule bases. Besides, according to different process targets, the selection progress will apply corresponding constraints and rule modules. The logic of tool selection follows a decision-making procedure as an experienced engineers. The strategy of system is to guide the user through several standard steps: information input; feature recognition; selection of machining method; selection of tool material and type; calculation of process parameter and solving cutting problem. This system also has a modularized structure which allows adding new functions and new modules to expand knowledge base and data base. Modules involves in this system are composed of the user interface, knowledge acquisition facility, explanation facility, the knowledge base module, the inference engine and the database module.

scholarly journals Primate archaeology reveals cultural transmission in wild chimpanzees ( Pan troglodytes verus )

2015 ◽  
Vol 370 (1682) ◽  
pp. 20140348 ◽  
Author(s):  
Lydia V. Luncz ◽  
Roman M. Wittig ◽  
Christophe Boesch
Keyword(s):  
Cultural Transmission ◽  
Material Selection ◽  
Tool Material ◽  
Tool Selection ◽  
Archaeological Methods ◽  
Direct Observations ◽  
Local Residents ◽  
New Community ◽  
Foraging Task ◽  
Selection Of

Recovering evidence of past human activities enables us to recreate behaviour where direct observations are missing. Here, we apply archaeological methods to further investigate cultural transmission processes in percussive tool use among neighbouring chimpanzee communities in the Taï National Park, Côte d'Ivoire, West Africa. Differences in the selection of nut-cracking tools between neighbouring groups are maintained over time, despite frequent female transfer, which leads to persistent cultural diversity between chimpanzee groups. Through the recovery of used tools in the suggested natal territory of immigrants, we have been able to reconstruct the tool material selection of females prior to migration. In combination with direct observations of tool selection of local residents and immigrants after migration, we uncovered temporal changes in tool selection for immigrating females. After controlling for ecological differences between territories of immigrants and residents our data suggest that immigrants abandoned their previous tool preference and adopted the pattern of their new community, despite previous personal proficiency of the same foraging task. Our study adds to the growing body of knowledge on the importance of conformist tendencies in animals.

Principles and practice in verifying rule-based systems

1992 ◽  
Vol 7 (2) ◽  
pp. 115-141 ◽  
Author(s):  
Alun D. Preece ◽  
Rajjan Shinghal ◽  
Aïda Batarekh
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
State Of The Art ◽  
Knowledge Bases ◽  
Order Logic ◽  
First Order Logic ◽  
Rule Based ◽  
First Order ◽  
Rule Bases ◽  
System Knowledge

AbstractThis paper surveys the verification of expert system knowledge bases by detecting anomalies. Such anomalies are highly indicative of errors in the knowledge base. The paper is in two parts. The first part describes four types of anomaly: redundancy, ambivalence, circularity, and deficiency. We consider rule bases which are based on first-order logic, and explain the anomalies in terms of the syntax and semantics of logic. The second part presents a review of five programs which have been built to detect various subsets of the anomalies. The four anomalies provide a framework for comparing the capabilities of the five tools, and we highlight the strengths and weaknesses of each approach. This paper therefore provides not only a set of underlying principles for performing knowledge base verification through anomaly detection, but also a survey of the state-of-the-art in building practical tools for carrying out such verification. The reader of this paper is expected to be familiar with first-order logic.

Intelligent Cutting Tool Selection for Milling Based on STEP-NC Machining Features

2014 ◽  
Vol 635-637 ◽  
pp. 589-593 ◽  
Author(s):  
Hua Bing Ouyang
Keyword(s):  
Cutting Tool ◽  
Cutting Tools ◽  
Nc Machining ◽  
Prototype System ◽  
Selection System ◽  
Tool Selection ◽  
Machining Features ◽  
Selection For ◽  
Base Module ◽  
Selection Of

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.

scholarly journals Expert System Based on Integrated Fuzzy AHP for Automatic Cutting Tool Selection

2019 ◽  
Vol 9 (20) ◽  
pp. 4308 ◽  
Author(s):  
Xuan Lan Phung ◽  
Hoanh Son Truong ◽  
Ngoc Tam Bui
Keyword(s):  
Expert System ◽  
Cutting Tool ◽  
Fuzzy Ahp ◽  
Cutting Tools ◽  
Multicriteria Decision Making ◽  
Uncertain Information ◽  
Tool Selection ◽  
Power Requirement ◽  
High Productivity ◽  
Workpiece Stability

Cutting tool selection plays an important role in achieving reliable quality and high productivity work, and for controlling the total cost of manufacturing. However, it is complicated for process planners to choose the optimal cutting tool when faced with the choice of multiple cutting tools, multiple conflict criteria, and uncertain information. This paper presents an effective method for automatically selecting a cutting tool based on the machining feature characteristics. The optimal cutting tool type is first selected using a proposed multicriteria decision-making method with integrated fuzzy analytical hierarchy process (AHP). The inputs of this process are the feature dimensions, workpiece stability, feature quality, specific machining type, and tool access direction, which determine the cutting tool type priority after evaluating many criteria, such as the material removal capacity, tool cost, power requirement, and flexibility. Expert judgments on the criteria or attributes are collected to determine their weights. The cutting tool types are ranked in ascending order by priority. Then, the rule-based method is applied to determine other specific characteristics of the cutting tool. Cutting tool data are collected from world-leading cutting tool manufacturer, Sandvik, among others. An expert system is established, and an example is given to describe the method and its effectiveness.

Selection of strengthening coatings based on simulation results

2020 ◽  
pp. 147-150
Author(s):  
B.Ya. Mokritsky ◽  
E.S. Sitamov
Keyword(s):  
Metal Cutting ◽  
Cutting Tool ◽  
Tool Material ◽  
Operating Conditions ◽  
Multilayer Coatings ◽  
Software Environment ◽  
Simulation Results ◽  
Cutting Processes ◽  
Metal Cutting Tool ◽  
Selection Of

By modeling cutting processes in the ANSYS and DEFORM software environments, can significantly reduce costs when choosing rational tool material for metal-cutting tool. For multilayer coatings on carbide substrate this is difficult for number of reasons. This possibility is shown and examples for using of the DEFORM software environment for choosing of rational or competing coatings, including for “designing” of the coating for the specified operating conditions of metal-cutting tool are presented.

Selection of Expert System Development Tools for Engineering Applications

1992 ◽  
Vol 114 (1) ◽  
pp. 38-45
Author(s):  
S. Mills ◽  
C. Erbas ◽  
Y. Hurmuzlu ◽  
M. M. Tanik
Keyword(s):  
Expert System ◽  
Selection Criteria ◽  
System Development ◽  
Tool Selection ◽  
Target Problem ◽  
Methods Development ◽  
Development Tool ◽  
Development Tools ◽  
Engineering Problems ◽  
Selection Of

The problems associated with engineering tasks are often too large and complex for application of conventional software methods, but are suitable to application of expert system methods. Development of custom expert system applications is expensive and difficult, but expert system development tools provide the basic components needed to construct an expert system. Such tools enable engineers to implement expert system applications by entering knowledge specific to the particular problem they are attempting to solve. Because the choice of a development tool can determine the success of the resulting expert system application, the characteristics of these tools and of the target problem must be clearly understood before a selection is made. An overview of expert systems and development tools is given, characteristics of some common engineering problems are discussed, and selection criteria for tools well suited to these problems are presented. Implementation of a rule-based advisor to assist with tool selection is discussed briefly.

Ct-SELECTOR: A Web Application for Cutting-Tool Selection in a CNC Machining Workshop

2014 ◽  
Vol 889-890 ◽  
pp. 1170-1173
Author(s):  
Pei Lu Sun ◽  
Ping Yu Jiang ◽  
Bao Quan Chen ◽  
Lei Zhang
Keyword(s):  
Tool Life ◽  
Web Application ◽  
Metal Cutting ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Cutting Parameters ◽  
Cnc Machining ◽  
Tool Selection ◽  
Selection Of

Recently in most Chinese CNC machining enterprises, the selection of cutting tools still depends on the experience of individual workers, which is hard to be inherited by others. Faced with this situation, we developed a web application for selecting proper cutting tools in CNC machining workshop, named ct-SELECTOR for short. This article introduces the main functions of the ct-SELECTOR and analyzed the three key enable technologies for realizing each function: (1) the automatic cutting-tool selection and match, (2) the optimal recommendation and management of metal cutting parameters and (3) the management and off-line prediction of tool-life. Finally, the developing architecture of the ct-SELECTOR is demonstrated, and a running example is illustrated to verify the validity and practicability of this system.

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