From One Week to One Day: How 3D Scanning Transformed Automotive Mold Inspection
Abstract
High-end mold manufacturing is being pushed to its limits. Tighter tolerances. More vehicle variants. Faster delivery cycles. And an inspection process that hasn't kept up.
found a way through — replacing hours of point-based measurement with 10-minute full-surface scans and data-driven deviation analysis.
This is how they did it.
The Challenge: When Traditional Inspection Can't Keep Up

Ruixin Automotive
Ruixin Automotive specializes in high-precision cold stamping dies for automotive body panels, supplying tier-one programs for Mercedes-Benz, BMW, Toyota, Volvo, Hongqi, and Kia. In this environment, tolerances on critical contours must be held within ±0.02mm. Surface quality must meet Class A standards.
The market is also moving faster. More vehicle models, smaller production runs, tighter development windows. Ruixin needed to streamline die tryout cycles — not by cutting corners, but by making every adjustment count.
Their existing inspection process made that difficult.
"We were always held back by two problems: the inspection was slow, and the data was incomplete," said Vice President Qiao of Ruixin Automotive.

Vice President Qiao
Traditional measurement methods delivered reliable accuracy on the points they captured. But a large die could take several hours — sometimes a full day — to inspect. And the output was discrete point data: reliable at specific locations, blind everywhere else.
For complex curved surfaces and Class A panels, that gap in coverage was a persistent liability.
The result was a tryout loop that nobody wanted but everyone lived with: press, grind, measure, repeat.
Each cycle lasted at least a week, plagued by heavy material waste and a dependency on subjective experience to fill the gaps left by incomplete data.
The Four Problems Holding Production Back

Before adopting 3D scanning, Ruixin's inspection workflow had four compounding constraints:
Speed — Each full inspection took several hours, creating a bottleneck at every stage of the tryout cycle.
Coverage — Discrete point sampling couldn't capture continuous surface variation. Complex geometry and Class A surfaces had systematic blind spots.
Subjectivity — Without comprehensive quantitative data, adjustment decisions depended on individual engineers' judgment. The same problem could be read differently by different people.
Cost — Repeated tryout iterations consumed significant material and labor. Each unnecessary cycle added direct cost and delayed delivery.
The Solution: Full-Surface Scanning with SIMSCAN-S Gen2
Ruixin Automotive was introduced to SCANOLOGY's SIMSCAN-S Gen2 at an industry exhibition.
The SIMSCAN-S Gen2 is a palm-sized handheld 3D scanner weighing 560g, built around 126 blue laser lines and capable of capturing up to 8,100,000 measurements/s.
For die inspection, two capabilities proved particularly relevant: a sphericity of 0.025mm and flatness of 0.035mm for reliable geometric feature verification, and a dedicated deep hole scanning mode that allows the scanner to reach confined cavities and undercut areas that conventional scanning systems cannot access.

SCANOLOGY SIMSCAN-S Gen2
After confirming that the SIMSCAN-S Gen2 met their accuracy requirements across these critical scenarios, Ruixin integrated it into their production workflow.
The SIMSCAN-S Gen2 is now deployed across three core use cases at Ruixin:
Quality Control
The 3D scanner captures full-surface point cloud data and compares it directly against the original CAD model, generating a color deviation map that shows exactly where the part deviates and by how much.
"We can clearly see subtle quality deviations. It gives us a reliable basis for judging product quality," said Vice President Qiao.

Repair and Rework Guidance
When die wear occurs, the 3D scanner precisely locates the worn areas and quantifies the wear volume — providing the exact data needed to guide laser welding repair. Instead of grinding by feel, engineers repair only what needs repairing, eliminating the risk of secondary damage from over-correction.
Reverse Engineering and Custom Development
Full-surface scan data supports downstream engineering work, including geometry reconstruction and design iteration on existing tooling.
The Result: One Project, One Day, Tens of Thousands Saved
The impact became concrete during a side outer panel project.

SCANOLOGY SIMSCAN-S Gen2
During the drawing operation, the team encountered a subtle wrinkling defect that was difficult to localize through conventional inspection. They deployed the SIMSCAN-S Gen2.
Time: approximately 10 minutes.
Output: an automatic color map showing material accumulation caused by stress concentration — the precise location and magnitude of the problem, visible at a glance.

Armed with that data, engineers made targeted adjustments to the draw bead geometry.
Two iterations. Problem resolved. Total project cycle: one day.
"We didn't just recover the project schedule — we saved tens of thousands of RMB in trial material costs," said Vice President Qiao.
Why It Works: The Capability Gap 3D Scanning Closes
The SIMSCAN-S Gen2 addressed each of Ruixin's four constraints directly:
|
Previous Process |
With SIMSCAN-S Gen2 |
|
Several hours per inspection |
~10 minutes per inspection |
|
Discrete point sampling |
Full-surface point cloud, no blind spots |
|
Experience-based judgment |
Color deviation map, data-driven diagnosis |
|
Manual records, limited traceability |
Digital data storage, fully traceable and reusable |
Full-surface coverage means no blind spots — the deviation map shows the entire part, not a sample of it. Response time drops from hours to minutes, allowing inspection to fit inside the tryout cycle rather than dominate it. And because results are stored digitally, every inspection becomes a reference point for future process optimization.

SCANOLOGY SIMSCAN-S Gen2
Looking Ahead
For Ruixin Automotive, the SIMSCAN-S Gen2 has moved from evaluation tool to production infrastructure.
"3D scanning technology is no longer just a nice-to-have. It is becoming foundational infrastructure for digital transformation in high-end manufacturing — and a core component of building a digital twin factory," said Vice President Qiao.
Ruixin Automotive and SCANOLOGY are now exploring integration of 3D scanning into automated production lines, targeting 100% inline inspection at critical process steps.
Specification: SCANOLOGY SIMSCAN-S Gen2
|
Volumetric accuracy |
Standard: 0.015 mm + 0.03 mm/m |
|
Accuracy |
0.015 mm |
|
Sphericity |
0.025mm |
|
Single scan area |
up to 700 mm × 600 mm |
|
Weight |
560 g |
Facing similar challenges in your die inspection workflow?
Contact our engineering team to discuss your application, or explore SCANOLOGY SIMSCAN-S Gen2 product page for full technical specifications.
See how we’ve helped others on our solutions page.