journal article·2023-11-22Open access

Optimization Method of the Clamping Force for Large Cabin Parts

Shuangji Yao, Yijv Luan, Marco Ceccarelli, Giuseppe Carbone

Applied Sciences· Volume 13· Issue 23

Abstract

In order to realize the stable clamping of large cabin parts, this paper studied the clamping force optimization of the clamping mechanism for large-mass and large-size cabin parts. Firstly, three kinds of contact models are introduced. Then, a clamping matrix is constructed for a particular clamping configuration. The nonlinear friction cone constraint at the contact point is transformed into a linear affine constraint in a smooth Riemannian manifold using the special structure of the positive definite symmetric matrix. Finally, a large cabin part used in the aerospace field is used as an example for calculating and simulating the clamping force optimization. Different optimization algorithms are used to calculate the initial value which is put into the gradient flow optimization method of the clamping force for optimization calculation. Meanwhile, the normal clamping force value of a 2 t object is measured using relevant experimental equipment. The simulation results and experimental results show that the gradient flow optimization method of the clamping force can quickly complete the clamping force optimization of large-mass and large-size cabin parts. The actual measured value of the normal clamping force is close to the simulated convergence value. The distribution of the normal force of the clamping mechanisms and the convergence value of the clamping force for each clamping mechanism can provide some references for determining the output clamping force of the clamping mechanism and confirming a reasonable distribution of the clamping mechanism. It also confirms the feasibility and effectiveness of this method applied to the clamping force optimization for a large axial part.
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Research context

OpenAlex topics: Robot Manipulation and Learning · Robotic Mechanisms and Dynamics · Manufacturing Process and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Vehicles and Energy, Yanshan University, Qinhuangdao 066004, China

Hebei Provincial Key Laboratory of Special Carrier Equipment, Qinhuangdao 066004, China

Department of Industrial Engineering, University of Rome Tor Vergata, 00133 Rome, Italy

Department of Mechanical, Energy and Management Engineering, University of Calabria, 87036 Rende, Italy

Funding

Foundation for Innovative Research Groups of the Natural Science Foundation of Hebei Province · Key Project of National Natural Science Foundation of China · University of Rome Tor Vergata

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