Glass deep processing equipment quality appraisal

glass deep processing equipment takes the core principle of synergy between high-precision processing and material performance optimization. By optimizing cutting accuracy, tempering strength and coating uniformity, it achieves the synergy of size consistency, safety performance and functionality of glass deep processing products (such as Low-E glass, fire-proof glass, insulating glass), and is widely used in fields such as building curtain walls, automotive glass, home appliance panels and photovoltaic modules. In architectural glass processing, it is used for precision cutting of ultra-large plates; in the photovoltaic industry, it meets the tempering needs of ultra-thin glass; in the automotive glass field, it ensures the uniformity of PVB bonding of laminated glass. Compared with traditional processing equipment, glass deep processing equipment has the characteristics of intelligent control, energy saving, high efficiency and high process integration, and is the core equipment for the upgrading of the glass industry.

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

As the precision requirements for glass products increase, related quality dispute cases have increased significantly. The judicial dispute focuses on:

1, performance index dispute: cutting accuracy exceeds standard, tempered glass self-explosion rate;

2, material defects: cutting wheel diamond coating peeling off, roller ceramic layer porosity;

3, process problems: vacuum fluctuations in the coating chamber, uniformity deviation of tempered air grille cooling;

4, contract performance disputes: core modules (such as imported laser cutting heads, magnetron sputtering coating systems) are inconsistent with the technical agreement.

Glass deep processing equipment quality appraisal technical methods mainly include:

1. Visual inspection: Check whether there are defects, damage or deformation in the appearance of the equipment.

2. Dimensional measurement: Use precision measuring instruments to measure the dimensions of the equipment and check whether it meets the design requirements.

3. Performance test: Test the cutting, grinding, engraving, sandblasting and other performance of the equipment according to national or industry standards.

4. Safety inspection: Check whether the electrical safety, mechanical safety and operational safety of the equipment comply with relevant regulations.

The applicant, a curtain wall company, signed a "5m×2.5m laser cutting machine purchase contract" with an equipment manufacturer, the defendant, agreeing on a cutting accuracy of ±0.1mm. After being put into production, the glass edge chipping rate exceeded 5%. The manufacturer argued that it was caused by impurities in the original glass.

Identification analysis results:

The quality analysis expert group discussed and comprehensively analyzed the relevant information of "Glass Deep Processing Equipment", contract technical agreements, on-site investigation case materials and other data, and made the following quality analysis Opinion:

The glass deep processing equipment involved in the case has a radial runout of the cutting wheel of 0.05mm (agreement ≤ 0.02mm), and a diamond coating thickness of only 8μm (agreement ≥ 15μm); the repeatability of the laser positioning system is ±0.25mm (agreement ±0.1mm), resulting in a deviation in the cutting path.

The appraisal conclusion determined that the mechanical accuracy of the equipment and material defects were the main causes of quality.

Glass deep processing equipment quality appraisal report should include:

1, appraisal purpose (such as processing defect attribution, performance verification) and reference standards;

2, involved equipment model, control system version, production record;

3, detection method and equipment list (such as laser interferometer, surface stress meter);

4, correlation analysis between detection data and failure (such as the impact of cutter wheel runout on edge chipping rate);