J'o~nat ofua,u ~ r / , t s ~ s t ~ Volmne 12/No. I
Cumulative Abstract Index
Cellular Manufacturing Systems Modeling: The Petri Net Approach, S. Teng, J. Black, pp. 45-54 The two requirements for automating a cellular manufacturing systemare making the manufacturingcell control system efficient and decreasing its response time. Cell control algorithm~ generated from a system model can truly represent the system. In this research, petri nets are used to model and to represent the dynamic behavior of an unmanned cell's operations. These nets fully describe both the operations of a specific cell and the detailed operations within the cell. Keyword~:Petri Nets, Cellular Manufacturing Systems, ouplers, System Modeling, Cell Control, Breakdowns
1990~ V o l . 9 / N o . 1 Est/mating Cycle Time in Designfor Robotic Assembly, P. Carter, pp. 1-12 The Design for Robotic Assembly handbook offers a method for quantitatively evaluating a product's ease of assembly by robots, and helps the designer estimate the cost of assembly associated with each part. Robot assembly task time data, derived from laboratory tests and industrial experience, can be substituted for the original values on the handbook data sheets for estimating part assembly times at a two-arm robotic assembly station. Using these new time values, the handbook method yields cycle time estimates that are within 5% of those drawn from computer simulation. Keywords:Assembly, Design for Auembly, Robod.csAssembly, Cycle Time, Gripper Changing, Automatic Assembly
An Operation Sequence Based Similarity Co¢O~cientfor Part Families Formations, K. Tam, pp. 55-68 To date, similarity ofjparts m group technology research has been defined and operationalized primarily on the basis of the machine requirements of parts. In this paper, a similarity coefficient based on the similarity of operation sequences is presented, and its use for parts grouping is discussed. Such a coefficient, augmented with an advanced clustering algorlthm= can improve production effectiveness by identifying part families that allow machines to interleave between identical operations of different parts. Keywords: Operation Sequence, Clustering, Part Similarity, Operation Interleaving
The Analysis of Simple Robots Using Bond Graphs, R. Bexger, H. EIMaraghy, W. ElMaraghy, pp. 13-19 The application of bond graph modeling of robotic manipulators is demonstrated by progressively developinl~ a distributed mass model of a two-link robot. The use of additional damping elements, for overcoming the numerical instability caused by the excessive loop gains associated with dependent inertias, has been demonstrated and its validity verified. The use of bond graphs to model robots and study their behaviors is preferable to other methods since, with the bond graph, change can be easily implemented by modifying the model without reformulatingthe system equations. Keywords: Bond Graph, Robot Dynamics, Loop Gain, Derivative Causality, Numerical Stability
A Prababillstic Model.for Machine Cell Formation, H. Seifeddini, pp. 69-75 The data for machine cell formation in cellular manufacturing is organized in a machine-component chart that represents the machining requirements of parts in the product mix. While the composition of the product mix is determined by demand and is probabifistic in nature, existing machine cell formation models treat it as deterministic. This could adversely affect the performance of the associated cellular manufacturing system. To overcome this problem, a probabilistic machine cell formation model in presented. Keywords: Machine CellFormation, Group Technology, Cellular Manufacturing, Machine Component Grouping
Analysis of Two.Dimensional Measurement Datafor Automated Inspection, F. Etesami, H. Qiao, pp. 21-34 Automatic sensing machines often provide a mass of geometric boundary information that has to be analyzed in order to estimate desired geometric parameters of part features. This problem has ~ T e a ~ e ~ o P n ~ m~lYo bY~ T ~ et~n s~oa~nlnd;fte~toa~ehr~c'~g d terms such as "size" and "position". In this paper definitions based on computational geometry are given to formalize the meaning of geometric imperfections according to the implication of ANSI standards. Given two-dimensional data point patterns, the problem of determining the size, form, orientation, and position of circular, planar, and parallelplane features are formally expressed. Keywords: Dimensioning, Computational Geometry, Dimensional Inspection, Geometric Modeling, Tolerancing
19901 Vol. 9/No. 2 A Knowledge-Based Design Assistantfor IntelligentManufac. turing System.v,P. Floss, J.Talavage,pp. 8%102 The large,potentialsavingsofferedby intelligentmanufacturing system technology may be achieved only through proper designand implementationof such systems.While currentmodelbased analysis tools are capable of providing accurate estimates of system performance, the ultimate success of adesign procedure depends heavily upon the knowledge and experience of the designer. A knowledge-based design procedure, which aids the design process and encourages experimentation, is proposed to reduce this dependence. Keytt~rds: Flexible Manufacturing Systems, .Expe~ Systems, Computer Simulation, queuing Network Analym, Intelligent Manufacturing Systems, Knowiedge-Based Systems
Adaptive Collision.FreePath.FollowingControlfor TWo Robots With PrismaticJoints,J.Yuh, pp. 35-43 An adaptive control strategy based on a collision-free pathfindin[g (CFPF) algorithm is proposed for two robots with prismatic joints. In systems with two or more robots operating in a common workspace, the arm of each robot is considered a moving obstacle. Taking into account the geometry of potential collision space, a simple CFPF algorithm is developed. An adaptive control scheme is used to control each robot to follow the desired path computed by the CFPF algorithm at each sampling-time step. This approach is investigated by computer simulation. Keywords: Adaptive Control, Path-Finding, Robotic Manipulators
A CombinedInductiveLearningand ExperimentalDesignApproach to Manufacturing Operation Planning, S. Lu, G. Zhang, pp. 103-15
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