Fully automated equipment quality appraisal

fully automated equipment takes intelligent control and multi-axis collaboration as its core principles. By optimizing production rhythm, positioning accuracy and system reliability, it achieves processing consistency, fault self-diagnosis and flexible production collaboration. It is widely used in automobile assembly, 3C electronics, pharmaceutical packaging and food processing and other fields. In automobile welding, it is used for precision robot welding of multiple car models in line; in semiconductor packaging, it meets the micron-level positioning requirements for wafer handling; in pharmaceutical filling, it ensures fully enclosed operations in a sterile environment. Compared with semi-automated equipment, fully automated equipment has the characteristics of data closed-loop control, multi-process integration and energy efficiency management, and is the core equipment of Industry 4.0.

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

As the popularity of automation increases, related quality dispute cases have increased significantly. The judicial dispute focuses on:

1, performance index dispute: insufficient actual beat, repeated positioning accuracy exceeding standard;

2, material defects: insufficient insulation level of servo motor winding, wear-resistant coating life of guide rail

3, process problems: multi-axis synchronization error, visual system misjudgment rate;

4, contract performance dispute: core modules (such as imported motion controllers, high-precision encoders) are inconsistent with the technical agreement.

fully automated equipment quality appraisal technical methods mainly include:

1, equipment appearance inspection

comprehensive inspection of the appearance of the equipment, including the structure, size, surface quality, etc. of the equipment. Check whether the equipment has defects such as deformation, cracks, wear, etc., and whether the equipment's logo, nameplate, etc. are clear and complete.

2 and equipment performance testing

test various performance indicators of the equipment, including equipment production efficiency, product quality, operation stability, etc. Through actual operation testing and data analysis, evaluate whether the performance of the equipment meets contract requirements and common industry standards.

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An electronic factory of the applicant signed a "Fully Automatic SMT SMT Line Procurement Contract" with an integrator of the respondent, agreeing that the patch accuracy is ±0.02mm. After being put into production, the component deviation rate exceeded 10%. The manufacturer argued that it was caused by the deformation of the incoming PCB.

identification analysis results:

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

The multi-axis synchronization error of the fully automated equipment involved in the case is 0.05mm (protocol ≤ 0.02mm), the pixel resolution of the visual alignment system is insufficient (protocol 10μm, actual measurement 25μm); the temperature rise of the servo motor exceeds the limit (ΔT ≥ 40°C), resulting in positioning drift.

The appraisal conclusion concluded that defects in the equipment control algorithm and heat dissipation design are the main reasons for accuracy failure.

Fully automated equipment quality appraisal report should include:

1, appraisal purpose (such as production loss attribution, technical compliance verification) and reference standards;

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

3, detection method and equipment list (such as laser tracker, megohmmeter);

4, detection data and failure correlation analysis (such as the impact of synchronization error on patch offset);