Melotte 采用 amsight 打通增材制造质量数据，根因分析时间大幅缩短
Connected Quality Data Cuts Melotte’s AM Root-Cause Analysis Time
Melotte 在实施 amsight 后，将增材制造质量数据的管理人工投入显著降低，并加快了根因分析速度。此前 Melotte 的生产与质量信息分散在 Excel 文件、手工记录、设备传感器数据、CT 报告和独立维护文档中，难以串联成可用的零件与工艺历史。Melotte 设计师 Thomas Vandenberghe 表示，问题从来不是缺少数据，而是无法以可用的方式把数据汇集起来；现在构建、CT、传感器和维护信息已连接在同一环境中。效果已经可以量化：此前每周约需 3 小时收集数据并导入 Excel，现降至每周约 20 分钟；过去需 3 至 4 小时查阅文档、串联信息的根因调查，现在通常可在 30 分钟以内完成，具体取决于问题。Melotte 还利用连通的生产数据更快识别工艺问题，包括将 CT 检出缺陷的增加追溯到双激光系统中的某一台激光器，通过把 CT 结果与构建信息关联来定位问题来源并采取纠正措施。Melotte 服务半导体、航空航天和国防等要求严苛的工业市场，客户日益要求证明生产受控、可追溯且可重复。amsight 定位为面向增材制造的专用数字质量骨干，在零件层级连接粉末、设备、工艺、后处理和检测证据，支持可追溯性、SPC、可供审核的报告以及更快的根因分析。
Industrial additive manufacturing specialist Melotte has significantly reduced the manual effort involved in managing AM quality data after implementing amsight, while also accelerating root-cause analysis and strengthening the quality evidence available to customers.
Before amsight, Melotte’s production and quality information was spread across Excel files, manual records, machine-held sensor data, CT reports, and separate maintenance documentation. The information existed, but connecting it into a usable picture of part and process history was labour-intensive.
That situation will be familiar to many AM manufacturers moving from development into repeatable production: More customers, tighter specifications, and greater scrutiny turn scattered data into a genuine production constraint.
“For us, the problem was never a lack of data, it was bringing the data together in a way we could actually use,” says Thomas Vandenberghe, Designer at Melotte. “With amsight, we now have build, CT, sensor, and maintenance information connected in one environment. That gives us a much clearer view of what is happening across the process.”
The impact is already measurable. Before amsight, Melotte spent approximately three hours every week gathering data and importing it into Excel files. That has been reduced to around 20 minutes per week. Root-cause investigations that previously took three to four hours searching documentation and connecting information can now typically be completed in 30 minutes or less, depending on the issue.
Linking CT Results with Build Information
The improvement goes beyond administration. Melotte has used connected production data to identify process issues more quickly, including tracing an increase in CT-detected defects to one laser within a dual-laser system. By linking CT results with build information, the team could isolate where the problem originated and take corrective action.
“Root-cause analysis used to mean going from one file to another, then back to the machine to inspect sensor data,” Vandenberghe continues. “Now we can see these relationships much more quickly. It gives us the broader process view we simply did not have before.”
Melotte serves demanding industrial markets including semiconductor, aerospace, and defence, where customers increasingly require evidence that production is controlled, traceable, and repeatable.
For amsight, the Melotte implementation demonstrates why production AM needs more than printer monitoring or document storage. amsight acts as an AM-specific digital quality backbone, connecting powder, machine, process, post-processing, and inspection evidence at part level to support traceability, SPC, audit-ready reporting, and faster root-cause analysis.
Vandenberghe concludes: “If you want to supply complex production parts into demanding markets, quality data management is not an optional extra. You need the evidence chain behind the part. amsight gives us a much stronger foundation for that.”
For more information: www.amsight.de
来源：Metrology News · 测量与质量控制 · metrology.news