Analysis of the design and manufacturing technology of the cover mould

The important problem facing the current mold car is efficiency and quality. Due to the speed of the launch of new models in the market, auto mold companies are not only producing molds, but also the production capacity requirements have become the contradiction highlighted by the automobile cover parts mold enterprises at this stage. The key is technology, technological innovation and conceptual innovation.

Casting blank scanning improves programming safety and processing efficiency

In the casting blank casting, the technical requirements put forward higher requirements for the software: alignment of the scanning or photographic point cloud, adjustment of the margin distribution and defect analysis; the programming process requires different collisions for the tool holder and the clamping respectively. The margin is optimized according to the speed of the allowance, ensuring that the tool and equipment are efficiently processed in the case of uneven casting blanks, while ensuring the safety of equipment and tools; the software can perform collision interference inspection of 5-axis machining. The following is the actual part application using COPYCAD. The reverse blank processing from data acquisition and large casting models can be completed in about 2 hours.

First, the point cloud data is collected by the camera device or the handheld data acquisition device, and then a large amount of point cloud data is input into the COPYCAD product module, which can process 2 million points of data in about 15 minutes to quickly complete the reverse work of the blank.

Then, the data collected in the free state is adaptively aligned by the point cloud automatic alignment module to match the numerical control programming coordinate system, and the margin distribution analysis of the blank and the actual machining model is performed, and between the tool processing and the blank. The analysis of the collision relationship can effectively improve the operating efficiency of the equipment and reduce the cost of the tool, and avoid possible equipment collision accidents, which is conducive to the realization of efficient production capacity.

After understanding the margin status information, we need to use these conditions to optimize the speed of the actual machining process. DELCAM PowerMILL is capable of collision avoidance and automatic optimization of cutting speed according to the amount of margin. Based on the DELCAM PowerMILL margin model collision interference function, it ensures smooth unattended machining.

Digital machining of precision surface scanning and on-machine inspection

The forming data of the mold making is obtained by photography or scanning means, and the "conditions" are compared according to the point cloud data and the theoretical CAD model to obtain the deviation data. This process does not require actual stamping, research, and analysis and processing through digital technology. Combine DELCAM's CNC machine tool online quality control system (DELCAM OMV), or you can also use DELCAM PowerINSPECT for digital research and development, without the need to purchase an extremely expensive digital research and development system, you can complete model alignment and tolerance in DELCAM measurement and analysis system. analysis. Specific steps are as follows:

1. Read in the CAD model, then read in any format of the point data model (photo, scan, hard probe, etc.), the software handles a large number of point clouds simultaneously.

2. Automatically align the adaptive best-fit theoretical CAD model and mold scanning point cloud with one button, and adjust it with the RPS function of the automotive industry.

3. Globally analyze the error of mold point cloud and CAD model, fully analyze the error condition according to the five-color point cloud, provide relevant data to CNC machining, craftsman, fitter assembly personnel, quickly determine further process plan, and predict the stamping die by virtual means. The research and development situation has positive significance for greatly reducing the trial period. Figure 3 shows various error analysis and expression methods.

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