Optimal Design Of Truck-mounted Drilling Rig's Frame

With the wide range of computer applications and the increasingly serious energy crisis, the vehicle manufacturers are pressing the hope of improving the performance of the vehicle itself, at the same time, can reduce their production costs, and strive to occupy more market share. Car rig as a dedicated vehicle, its chassis has not been targeted in the design and production. Therefore, the use of modern methods to optimize design becomes feasible. This article main research content:(1). Carries on the three dimensional modelling, the statical analysis using ANSYS to the frame. In the structure statical analysis stage, through restrains eight shackles to sell realizes the simulation which restrains to the frame, considers the partition equispaced type frame's load bearing form. In the pure bending stage, restrains all shackles to sell; Analyzes in the reverse, sells the constraints through the release and the increase shackle to serve the reverse purpose.(2). Modal analysis phase.There is no mode of vibration will be free to type as the target, part of the load frame can not be ignored, so the analysis is the frame in a pre-stressed under load the natural frequencies and corresponding mode of vibration. From Static analysis and modal analysis results, we provide a strong basis for optimal design.(3).ANSYS optimization. The goal reduces frame own weight, according to the front analysis result, chooses the most main load bearing part--carline to take the direct optimized goal. When optimization, processes Cheng the carline the Liang unit model, withdraws Liang's section size to take the design variable, Liang when is purely curved the biggest stress is the state variable, take Liang's lumpy mass as the goal; Obtains the optimized value after the iteration, with the master form contrast, extracts the quality the light proportion.(4). MATLAB genetic algorithm optimization. Appears as the optimized contrast, this is also this article luminescent spot. In order to contrast the reliability, the optimized parameter's choice is completely consistent with ANSYS, the biggest bending moment's value also directly originates from the ANSYS analysis result. In view of genetic algorithm's randomness, we carry on four operations, takes each parameter the maximum value to take the optimized result separately; And the master form and the ANSYS optimization result carries on the result the comparison.The paper final part is to the full text work summary, and has carried on the forecast to the following research.