Assessment of the Design Complexity of Modular Automated Assembly System

2020 ◽  
Author(s):  
Yixiong Feng ◽  
Chuan He ◽  
Jianrong Tan ◽  
Hao Zheng ◽  
Yicong Gao
Keyword(s):  
Assembly System ◽  
Automated Assembly ◽  
Design Complexity

The Methodology for the Selection of the Appropriate Sensory Equipment for the Grasping End Effectors in the Assembly Workspace

2014 ◽  
Vol 693 ◽  
pp. 56-61
Author(s):  
Michala Šimúnová ◽  
Nina Vetríková ◽  
Karol Velíšek
Keyword(s):  
Error Rates ◽  
Considerable Degree ◽  
Assembly System ◽  
Human Intervention ◽  
Assembly Process ◽  
Automated Assembly ◽  
Characteristic Sign ◽  
Industry Automation ◽  
End Effectors ◽  
Selection Of

Nowadays, there is a huge emphasis on the development of devices, technologies and process in the industry. Automation helps with it in the considerable degree, because it tries to solve the development of technique, what is characteristic sign of production, assembly, control and another process realization, what eliminates the human intervention and error rates. Automated assembly process consists of the assembly and handling operations of component connecting to the different units and final products, what is equipped with appropriate devices to eliminate the human intervention. One of the most productive solutions seems to be the deployment and the use of robots and manipulators, which realize the technological, handling and also transporting process. This contribution deals with the systematic steps for the selection of the appropriate sensory equipment used in the gripping robotic end effectors, which are characteristic for the assembly system, placed in our department laboratories.

BioCell Printing : Integrated automated assembly system for tissue engineering constructs

CIRP Annals ◽  
2011 ◽  
Vol 60 (1) ◽  
pp. 271-274 ◽  
Author(s):  
P. Bartolo ◽  
M. Domingos ◽  
A. Gloria ◽  
J. Ciurana
Keyword(s):  
Tissue Engineering ◽  
Assembly System ◽  
Automated Assembly

Optimization Analysis of Automated Assembly Systems

1981 ◽  
Vol 103 (2) ◽  
pp. 224-232 ◽  
Author(s):  
K. Hitomi ◽  
M. Yokoyama
Keyword(s):  
Assembly System ◽  
Assembly Systems ◽  
Profit Rate ◽  
Automated Assembly ◽  
Optimization Analysis ◽  
Running Speed ◽  
Maximum Profit ◽  
Decision Variables ◽  
Total Profit ◽  
Optimizing Algorithm

Optimization analysis for maximizing the total profit of an automated assembly system consisting of automated assembly machines and operators was performed. In this analysis, concepts of two kinds of breakdowns, which depend on accuracy of parts and on machine running speed were introduced. Based on basic decision variables—accuracy of parts, machine running speed, and number of operators, profit rate of the automated assembly system was maximized through dynamic programming, and an optimizing algorithm for the maximum profit rate was developed with a numerical example.

Robotic Grip Determination From Solid Models

1991 ◽  
Author(s):  
Gary A. Gabriele
Keyword(s):  
Product Design ◽  
Assembly System ◽  
Automated Assembly ◽  
End Effector ◽  
Second Stage ◽  
The Third ◽  
Third Stage ◽  
Analysis System ◽  
The Individual ◽  
Assembly Analysis

Abstract Design for Assembly (DFA) can have a significant influence on the cost of a product. DFA is especially beneficial for products that are robotically assembled, due to the limitations placed on the product design by the automated assembly equipment. Automated assembly analysis systems have been developed to assess the assemblability of a product but, many lack an interface to the product CAD database. The lack of a CAD interface requires the user to examine every part in the assembly to determine the characteristics and features that promote efficient assembly. This is a time consuming and tedious process. An automated assembly analysis system is described that will automatically analyze a product design to determine if it can be assembled on a particular assembly system and suggest improvements in the design. Three main stages of the system are identified. The first stage determines if the individual parts of the assembly can be presented to the work station. The second stage determines if the individual parts of the assembly can be grasped and manipulated by the end effectors. The third stage determines if every part in the assembly can be positioned and inserted into the assembly to complete the assembly process. A prototype system was developed that addresses the second stage of the proposed automated assembly analysis system and is described herein. The Robotic Grip Determining (RGD) program examines a B-Rep solid model of a part to determine if it can be grasped by a modeled end effector. If the RGD program determines that the part can be grasped, a list of gripping positions are generated that describe how the end effector can grasp the part. These gripping positions can then be passed to the third stage of the proposed automated assembly-system.

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