1994 ABSTRACT
Simulation demonstrates convergent results of tuned feed rate under the tool deflection constraint. Key’ords: Knowledge-Based System. Tape Tuning, Intelligent Supervision of CNC
Volume 13/Number 1 Statistical Surface Roughness Checking Procedure Based on a Cutting Tool Wear Model, Kai Yang and Angus Jeang, pp. 1-8
Pull-Push Heuristic for Robot Cyclic Walk-Path Development in Flexible Manufacturing Cells, Houn-Gee Chen, pp. 3 l-36 This research examines the robot scheduling problem of flexible manufacturing cells. The robot loads jobs into machines, unloads jobs from machines, and transports jobs between machines. A structure is devised to analyze the robot’s activities. Two greedy scheduling rules-pull and push----are defined and analyzed. A pull-push heuristic is then devised and evaluated. KeJwTords:Robot Scheduling, Heuristic Method Robotic Application Planning, Cellular Manufacturing, Simulation
Surface roughness is an important measure of quality in metalcutting. Because the surface roughness measure is related to cutting tool wear, this paper develops an efficient surface roughness monitoring and control procedure that combines statistical analysis and the physics of the cutting tool wear mechanism. Examples and data are taken from an actual machining operation. Kepaords:
Statistical
Surface Roughness, Quality Control, Nonlinear
Cutting Tool Regression
INDEX
Wear,
Intermediate Tool Requirement Planning for FMS, Suresh K. Khator and Lawrence C. Leung, pp. 9-19 Tool automation is fast becoming a vital aspect of computer-integrated manufacturing. While studies on the control components of tool management have been many, there are relatively few on the planning components. This paper addresses important issues in tool planning, including tool procurement, tool-life inventories, and use of alternative tools. We will explore the issues and decisions involved in tool requirement planning (TRP). A planning model formulated as a linear program is presented along with an illustrative example. In an era when companies are considering schemes such as just in time (JIT) to minimize product inventory, it should prove fruitful to have a coherent tool procurement and inventory policy as well. Kq”‘u1ord.s: Tool Planning, Tool Management, ComputerIntegrated Manufacturing, Linear Programming Application
Measuring the Impact of Lifecycle Costs, Technological Obsolescence, and Flexibility in the Selection of FMS Design. Layek Abdel-Malek and Carl Wolf. pp. 37-47 Selecting an appropriate FMS requires consideration of many factors for successful implementation and operation. Primary factors are the system’s flexibility, lifecycle cost, and competitive ability over time. This paper proposes a quantitative measure for comparing alternative FMS designs with respect to these three criteria. The model captures the effect of these three factors in a single measure. KeJwwds: FMS Selection. Flexibility Measurement, Technological Obsolescence Getting Started: Concurrent Engineering for a MediumSizedManufacturer, Susan L. Albin and Peter J. Crefeld III. pp. 48-58 Concurrent engineering replaces the traditional sequential new product development process with one where tasks proceed in parallel whenever possible and where there is early consideration of all aspects of a product’s lifecycle. Concurrent engineering shortens new product lead times. improves quality, and reduces manufacturing costs, The first step in implementing concurrent engineering requires developing an appropriate company structure and culture to support cooperation among departments, including design, manufacturing, marketing, purchasing departments. and so on. The second step is developing effective computer communication and analysis tools to yield in-depth benefits. This case study describes our efforts to improve new product development at a medium-sized cable manufacturer. Few concurrent engineering principles were currently being used. But our
Knowledge-BasedApproach for Improvement of CNC Part Programs, A. de Sam Lazaro, Jie Zhang, and L.A. Kendall, pp. 20-30 In typical CNC machining processes, a CNC program specifies machining parameters and geometrical data. Part programmers usually write CNC programs based on their experience and perception. Because humans may not be able to sense physical quantities with high accuracy, modern CNC machines are equipped with a variety of sensors to indicate machining conditions. But modern sensing systems and human expertise are separated in most existing systems. Run-time information does not contribute to CNC program quality. This paper attempts to illustrate the structure for coordinating sensing data and expert knowledge to tune the CNC program. The tuning process is done through both knowledge reasoning and mathematical processing.
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