I. Core Approach

Abandon visual/image-based inspection and instead rely on contact-based precision measurement, online sensor data acquisition, mechanical/physical property measurement, closed-loop control, and data modeling to achieve a transition from post-production spot checks → online 100% inspection → process prediction → automatic correction, thereby reducing scrap at the source and improving the yield rate.

II. Available Non-Image-Based Intelligent Measurement Technologies

1. High-Precision Contact-Based Measurement

CNC coordinate measuring machine (CMM) contact probes, pneumatic measuring instruments, inductive micrometers, capacitive grating measurement systems

Applications: Shafts, hole systems, threads, bore diameters, coaxiality, roundness, cylindricity, wall thickness, dimensional tolerances

Benefits: Real-time measurement at the micrometer level, replacing manual calipers and dial indicators; eliminates human reading errors; immediate identification and isolation of out-of-tolerance dimensions.

2. In-Process Sensing and Measurement

Deployment of pressure, temperature, vibration, torque, displacement, rotational speed, and current sensors:

Machine tool spindle vibration, cutting load, mold clamping pressure, injection molding temperature / holding pressure

Stamping stroke displacement, forging heating temperature, assembly torque

Real-time detection of equipment anomalies and process drift; early warning and intervention before defective products are produced, preventing batch scrap.

3. Pneumatic/Electronic Gauge Sorting and Measurement

Pneumatic plug gauges, ring gauges, and electronic go/no-go gauges

Integrated with production lines to automatically sort conforming parts from oversized and undersized items, ensuring 100% inspection and eliminating missed defects from sampling.

4. Non-Destructive Physical and Chemical & Material Property Measurement (No Imaging)

Ultrasonic thickness measurement, ultrasonic phased-array internal flaw detection (waveform data only, no imaging)

Intelligent hardness testing, spectral analysis of material composition, and seal integrity testing via air pressure decay

Applications: Porosity and shrinkage cavities in castings, substandard hardness after heat treatment, seal leaks, and material mix-ups—ensuring quality control by identifying material composition and internal defects.

5. Intelligent Measurement of Force and Deformation

Tensile force, compressive force, rebound deformation, and fatigue load measurement

Applications: Springs, chassis structural components, rubber shock absorbers, and interference fits in snap-fit assemblies—ensuring consistency in mechanical properties.

III. Key Practices for Improving Yield Rates

In-Process Embedded Online Measurement

Immediate automatic measurement after each machining step; non-conforming parts are immediately stopped and diverted, preventing them from entering the next process and reducing waste from rework.

Closed-Loop Compensation of Process Parameters

Measurement data is fed back into the machine tool/mold control system; dimensional deviations automatically fine-tune feed rates, temperature, pressure, and tool offsets, eliminating the need for manual machine adjustments and stabilizing the process window.

Big Data Statistical Process Control (SPC)

Batch measurement data is collected to perform CPK analysis and track tolerance drift trends, enabling early detection of tool wear, mold aging, and temperature drift. This facilitates preventive tool replacement and maintenance, thereby avoiding batch defects.

Standardized Data Traceability

Each component is linked to measurement data, equipment parameters, and production time slots, allowing for precise identification of whether defects stem from equipment, tooling, raw materials, or process issues, thereby addressing root causes.

Elimination of Human Subjective Error

Intelligent instruments perform automatic measurement, judgment, and recording throughout the entire process, reducing missed inspections, misjudgments, and lenient approvals due to personal favoritism during manual inspections.

IV. Direct Results

Dimensional defects have decreased significantly, and tolerance consistency has improved markedly

Batch scrapping, rework, and repairs have been reduced

Early defect warnings prevent hidden defects from entering final assembly

Process stabilization has led to a steady long-term increase in yield rates and a reduction in production costs