The Optimization of Tooth Form Fitting Error on Worm Type Shaving Cutter

In order to solve the flank concave problem of the rotary gear shaving cutter, a new worm type shaving cutter has been manufactured, which will be used on a gear hobbing achieving freedom shaving. And its tooth precision can reach 6-7 level. The main contents includes the worm normal section curve equation of the worm type shaving cutter involutes, the optimization of tooth fitting error and the linear fitting of the tooth curve of the normal section by the MATLAB genetic algorithm toolbox. According to GB/T6084-2001 hob series standard, the results showed that the error theory is less than 1/6 of the AA level.

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Optimization of Watt's Six-Bar Linkage to Generate Straight and Parallel Leg Motion

International Journal of Advanced Robotic Systems ◽

10.5772/50917 ◽

2012 ◽

Vol 9 (1) ◽

pp. 22 ◽

Cited By ~ 10

Author(s):

Hamid Mehdigholi ◽

Saeed Akbarnejad

Keyword(s):

Genetic Algorithm ◽

Contact Area ◽

Optimization Method ◽

Contact Period ◽

Algorithm Optimization ◽

Genetic Algorithm Optimization ◽

Parallel Motion ◽

Leg Motion ◽

Four Bar Linkage ◽

Curve Equation

This paper considers optimal synthesis of a special type of four-bar linkages. Combination of this optimal four-bar linkage with on of it's cognates and elimination of two redundant cognates will result in a Watt's six-bar mechanism, which generates straight and parallel motion. This mechanism can be utilized for legged machines. The advantage of this mechanism is that the leg remains straight during it's contact period and because of it's parallel motion, the legs can be as wide as desired to increase contact area and decrease the number of legs required to keep body's stability statically and dynamically. “Genetic algorithm” optimization method is used to find optimal lengths. It is especially useful for problems like the coupler curve equation which are completely nonlinear or extremely difficult to solve.

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A Method for Designing and Optimizing Force Balanced Constant Spring Hangers with MATLAB Language and Environment

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.458.337 ◽

2010 ◽

Vol 458 ◽

pp. 337-343

Author(s):

C. Su ◽

Z.R. Zhang ◽

A. Li

Keyword(s):

Genetic Algorithm ◽

Mathematical Model ◽

Optimal Design ◽

Tool Design ◽

Mechanics Model ◽

Working Principle ◽

Curve Equation

A mechanics model for force balanced constant spring hangers is put forward. Then from the working principle of constant hanger，the curve equation of knife cams is induced. The curve equation is solved and the curves of cams are also plotted with MATLAB. The main spring mathematical model of optimal design is established. Parameters of the main spring are optimized with the MATLAB genetic algorithm tool. Design force b

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