1991 ◽  
Vol 113 (2) ◽  
pp. 110-123 ◽  
Author(s):  
D. A. Hoeltzel ◽  
Wei-Hua Chieng

Hybrid optimization, a new approach to design optimization employing both symbolic reasoning and algorithmic analysis, has been applied to the design of kinematic pairs in mechanisms. This hybrid design methodology provides a three-step systematic approach for (1) combining the degrees-of-freedom found in simple, lower kinematic pairs to obtain more complex but robust higher pairs, (2) judging inappropriately assigned joints for the elimination of redundant kinematic constraints and harmful mobilities, and (3) assisting nonexpert designers in applying nonlinear programming algorithms for detailed numerical design optimization of kinematic pairs. An example taken from the design of a spatial mechanism, specifically a universal joint, is presented and serves to demonstrate the utility of this procedure for detailed hybrid design optimization of kinematic pairs in mechanisms.


This paper will briefly explain the engineer’s approach to optimize the conservative design of parabolic Leaf Spring in various steps. The Hybrid Design methodology and technique is employed for Size. Shape and weight Optimization by means of Parametric Modeling and Optimization-Simulated annealing algorithm. Various designs have been created, analyzed and its Maximum deflection and stress is compared with the material’s yield strength.


Author(s):  
Wei Jiang ◽  
Zhiyuan Zhou ◽  
Yu Yan ◽  
Gongping Wu ◽  
Lianqing Yu ◽  
...  

Purpose In response to the poor reliability of live maintenance robots in semi-structured environments and the difficulty of monitoring their operation status, this paper aims to propose an online method for evaluating the operation status of high-voltage live maintenance robots based on fuzzy control. Design/methodology/approach The robot bolt tightening operation is taken as an example. During the whole operation process, the key technologies of bolt tightening are analyzed theoretically, a two-dimensional fuzzy control model of bolt tightening process control is established and the control parameters, which characterize the operation status, are obtained. Through dynamic adjustment of the fuzzy controller, real-time online monitoring of the robot operation status can be achieved. Findings The results of simulation experiments and 220 kV live operation experiments show that the reliability of robot bolt tightening is greatly enhanced by the proposed control method. Originality/value The results not only verify the engineering practicability of the fuzzy control-based method but also indicate that it can improve efficiency, safety and operability.


Author(s):  
Anthony A. Nix ◽  
Ben Sherrett ◽  
Robert B. Stone

Function based design methods — those that are largely a derivative of Pahl and Beitz’s systematic approach — are a powerful tool employed in a variety of engineering design contexts. However, many other design methodologies exist and are useful in solving design problems. These methods include varying approaches from Suh’s Axiomatic Design to Altshuller’s Theory of Inventive Problem Solving (TIPS or TRIZ) to the business-motivated Ulwick’s Outcome Driven Method. In this paper an attempt to merge the philosophy of functional design with the problem solving approach of TRIZ is undertaken. A framework is proposed combining functional modeling formalized by the Functional Basis with TRIZ. The process of merging the two methodologies is presented along with the key contribution, a matrix that relates the vocabulary of the Functional Basis with the 40 inventive principles of TRIZ. The use of the Functional Basis-TRIZ (FB-TRIZ) hybrid design methodology is described and a case study is presented demonstrating its use as well as the creative solutions that the approach affords.


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