Semi-automatic equipment quality appraisal

semi-automatic equipment takes human-machine collaboration and programmed control synergy as its core principles. By optimizing operation accuracy, response speed and system stability, it achieves synergy of production rhythm, processing consistency and operational safety. It is widely used in electronic assembly, food packaging, medical equipment and small batch customized production fields. In SMT patching, it is used for precise picking and placing of components; in pharmaceutical filling, it meets the requirements of semi-closed operations in a sterile environment; in hardware processing, it ensures the accuracy of rapid mold change of stamping parts. Compared with fully automatic equipment, semi-automatic equipment has the characteristics of high flexibility (supporting manual intervention), low cost and convenient maintenance (modular design), and is the core equipment of small and medium-sized production.

Zhongke Testing is a product quality appraisal service organization registered with the court. It can provide semi-automatic equipment quality appraisal services. It has a professional appraisal team and advanced instruments and equipment to provide fair and accurate appraisal results for semi-automatic equipment quality appraisal.

As the demand for flexible manufacturing increases, related quality dispute cases have increased significantly. The judicial dispute focuses on:

1, performance index dispute: operation accuracy exceeds standard, production efficiency does not reach the agreed value;

2, material defects: guide rail wear-resistant coating thickness, sensor linearity error;

3, process problems: pressure fluctuations in the pneumatic system, human-machine interface response delays;

4, contract performance disputes: core modules (such as imported servo motors, visual positioning systems) are inconsistent with the technical agreement.

Based on the characteristics of semi-automatic equipment, common quality identification technical methods include:

1, equipment performance testing

Testing various performance indicators of the equipment is one of the important contents of identification. For example, testing the production efficiency, accuracy, stability and other indicators of the equipment to see whether it meets the requirements of the technical contract and general industry standards. By testing equipment performance, the quality of the equipment can be objectively evaluated.

2, structure and component inspection

Inspect the structure and components of the equipment to see if there are design defects, manufacturing process problems, etc. For example, check whether the parts of the equipment are worn, deformed, cracked, etc., and evaluate their impact on the overall performance of the equipment.

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An electronics factory of the applicant signed a "Semi-automatic Labeling Machine Purchase Contract" with an equipment manufacturer of the respondent, agreeing that the labeling accuracy is ±0.2mm. After being put into production, the label deviation rate exceeded 15%, and the manufacturer argued that it was caused by insufficient operator training.

identification analysis results:

The quality analysis expert group discussed and comprehensively analyzed the relevant information of "semi-automatic equipment", contract technical agreements, on-site inspection case materials and other data, and made the following quality analysis Analytical opinion:

The servo motor torque fluctuation of the semi-automatic equipment involved in the case fluctuated by ±15% (agreement ±5%), the pixel error of the visual positioning system was 0.3mm (agreement ≤0.1mm); the thickness of the guide rail coating was only 15μm (agreement ≥50μm), causing the mechanical return clearance to exceed the standard.

The appraisal conclusion determined that equipment control system and material defects were the main causes of accuracy failure.

Semi-automatic equipment quality appraisal report should include:

1, appraisal purpose (such as production accident attribution, performance verification) and reference standards;

2, involved equipment model, software version, operation and maintenance records;

3, detection method and equipment list (such as laser distance meter, PLC analyzer);

4, analysis of detection data and failure correlation (such as the impact of servo fluctuations on labeling accuracy);