scholarly journals Design Optimization of Machine-tool Dynamics Based on an Explanation of Relationships between Characteristics (1st Report)

1987 ◽  
Vol 53 (4) ◽  
pp. 601-606 ◽  
Author(s):  
Masataka YOSHIMURA
Keyword(s):  
Machine Tool ◽  
Design Optimization ◽  
Machine Tool Dynamics ◽  
Tool Dynamics

Design Optimization of Machine-Tool Dynamics Based on Clarification of Competitive-Cooperative Relationships Between Characteristics

1987 ◽  
Vol 109 (1) ◽  
pp. 143-150 ◽  
Author(s):  
Masataka Yoshimura
Keyword(s):  
Machine Tool ◽  
Design Optimization ◽  
Structural Model ◽  
Optimization Methods ◽  
Optimization Method ◽  
Design Decision ◽  
Cooperative Relationships ◽  
Machine Tool Dynamics ◽  
Design Variables ◽  
Tool Dynamics

This paper proposes a design optimization method of machine-tool dynamics based on clarification of competitive and cooperative relationships between characteristics. Clarification of competitive and cooperative relationships between characteristics results in division of design variables into three groups. The design variables of each group are determined in each of the three-phase design optimization procedures. The design decision problem in each procedure is far simpler and easier than that in usual design optimization methods, in which all design variables are determined at the same time. The competitive and cooperative relations between characteristics are first clarified. Next, algorithmic procedures of the design optimization method are constructed. The method is demonstrated on a structural model of a milling machine.

scholarly journals Effect of Rack and Pinion Feed Drive Control Parameters on Machine Tool Dynamics

2020 ◽  
Vol 4 (2) ◽  
pp. 33
Author(s):  
Oier Franco ◽  
Xavier Beudaert ◽  
Kaan Erkorkmaz
Keyword(s):  
Machine Tool ◽  
Control Parameters ◽  
Heavy Duty ◽  
Machine Tool Dynamics ◽  
Feed Drive ◽  
Drive Control ◽  
Multiple Input ◽  
Servo Controller ◽  
Tool Dynamics ◽  
Cutting Point

In large heavy-duty machine tool applications, the parametrization of the controller that is used for the positioning of the machine can affect the machine tool dynamics. The aim of this paper is to build a Multiple-Input and Multiple-Output model that couples the servo controller and machine tool dynamics to predict the frequency response function (FRF) at the cutting point. The model is experimentally implemented and validated in an electronically preloaded rack and pinion machine tool. In addition, the influence of each control parameter on the machine tool’s compliance is analysed.

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