Achieving Quality Control in Key Processes for Aluminum Forgings Through Data-Driven Approaches

2026-09-02

In high-precision aluminum forging manufacturing, dimensional stability remains a core metric for evaluating product quality. Drawing on extensive practical experience, we have established a quality control system centered on a "process data-driven" approach. This transforms traditional experience-based quality management into a systematic methodology grounded in data collection, analysis, and feedback, enabling precise control and continuous optimization across key processes. For instance, in surface treatment, minute dimensional variations directly impact product assembly performance and service life. By collecting and comparing critical data before and after surface treatment, we achieve exact process control at this stage.

Taking a recently developed hemispherical aluminum forging as an example, the customer specified exceptionally high dimensional accuracy: approximately 280 location dimensions and profile tolerances required compliance with the ISO 2768-mK standard. Beyond implementing full-process quality control across forging forming, heat treatment, and machining stages, we established "comparison of key dimensions before and after anodic oxidation" as a core measure—collecting, comparing, and analyzing key dimensional data. By accumulating extensive data, we developed a dimensional variation model for this product category under varying process conditions. Based on this model, we optimized anodic oxidation and related process parameters to lock dimensional fluctuations within an extremely narrow range. Additionally, for batches exhibiting abnormal fluctuations, data traceability allows us to rapidly locate the issue—whether in grain flow lines, die wear, or heat treatment—and apply prompt corrective actions to prevent defect escalation.

To ensure data accuracy and reliability, we deployed high-precision Coordinate Measuring Machines (CMMs) with measurement precision up to 0.0003 mm during inspection. This equipment performs high-accuracy measurements on complex aluminum forgings, delivering exceptional repeatability and stability for critical features like hole diameters and outer dimensions. By strictly adhering to standardized inspection benchmarks and operating procedures, we eliminate human error, ensure high data consistency, and provide a solid foundation for subsequent process analysis and die modification.

This case-based control approach enhances individual forging quality stability while evolving into a standardized, replicable, and scalable process. Through institutionalized comparative analysis and continuous optimization, we have transitioned from individual case experience to systemic capability, making quality management more scientific, transparent, and efficient.

"Process data-driven" is not mere data recording; it is a systematic engineering discipline spanning the entire product lifecycle. As early as product design and forging die development, we establish critical dimension identification mechanisms—combining downstream precision machining and surface treatment to forecast potential dimensional variation ranges. During manufacturing, standardized work instructions and inspection specs guide stage-by-stage data collection, ensuring full traceability across every process step.

Through years of practice, we have established a closed-loop quality management system spanning design, forging forming, heat treatment, machining, surface treatment, and inspection verification. This demonstrates our standardized quality management capabilities while highlighting our technical depth and engineering expertise in high-precision aluminum forging manufacturing. Moving forward, we will continue deepening our data-driven practices, enhancing process control and inspection capabilities to deliver stable, reliable, one-stop forging solutions that drive greater value in high-precision manufacturing.