Predicting mobile machine tool dynamics by experimental dynamic substructuring

2016 ◽  
Vol 108 ◽  
pp. 127-134 ◽  
Author(s):  
Mohit Law ◽  
Hendrik Rentzsch ◽  
Steffen Ihlenfeldt
Keyword(s):  
Machine Tool ◽  
Machine Tool Dynamics ◽  
Dynamic Substructuring ◽  
Tool Dynamics ◽  
Mobile Machine

scholarly journals Application of Substructure Decoupling Techniques to Predict Mobile Machine Tool Dynamics: Numerical Investigations

Procedia CIRP ◽  
2016 ◽  
Vol 46 ◽  
pp. 537-540 ◽  
Author(s):  
Mohit Law ◽  
Hendrik Rentzsch ◽  
Steffen Ihlenfeldt ◽  
Matthias Putz
Keyword(s):  
Machine Tool ◽  
Numerical Investigations ◽  
Machine Tool Dynamics ◽  
Tool Dynamics ◽  
Mobile Machine

Evaluating Mobile Machine Tool Dynamics by Substructure Synthesis

2014 ◽  
Vol 1018 ◽  
pp. 373-380 ◽  
Author(s):  
Mohit Law ◽  
Hendrik Rentzsch ◽  
Steffen Ihlenfeldt
Keyword(s):  
Machine Tool ◽  
Contact Stiffness ◽  
A Priori ◽  
Numerical Verification ◽  
Combined System ◽  
Response Characteristics ◽  
Dynamic Substructuring ◽  
Tool Dynamics ◽  
Stiffness And Damping ◽  
Mobile Machine

Mobile machining solutions use autonomous machining units that can be transported to different part locations, making possible easy maintenance and repair of large industrial equipment. Every new part and location results in different boundary conditions for the mobile machine tool-part system; influencing the dynamics of the combined system and necessitating different strategies for part/machine referencing and clamping. To facilitate efficient mutability and modularity in mobile machining solutions, this paper presents a dynamic substructuring strategy that combines the response characteristics of the mobile machine unit with that of two different simulated base models under varying levels of contact stiffness and damping to obtain the synthesized mobile machine tool dynamic response. Numerical verification of the approach is provided. Framework presented can also combine measured response of parts for which models may not be available a priori. Methods presented provide experimental guidelines for establishing strategies for part/machine referencing, and planning of machining strategies based on the evaluated dynamics.

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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