Analysis & Reliability
We identify root causes through materials characterization and reliability evaluation to continuously improve processes and material
Simulation
We model thermal, stress, and fluid flow phenomena to identify optimal process windows and reduce development time and cost.
AI
We use data-driven models to enable early detection of anomalies and rapidly identify opportunities for process optimization.
An integrated analysis solution that proactively identifies the root causes of defects through comprehensive material property evaluations-including structure and composition-and proposes optimal directions for process and material improvements.
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Contamination Analysis
Quantitative analysis of trace surface contamination and coating/oxide layer thickness
Trace Impurity ControlQualitative & quantitative evaluation of fine particles and impurities.Precision Surface/Interface MeasurementHigh-resolution measurement of coating and oxide layer uniformity. -
Material Characterization
Durability Verification Through Microstructure, Composition & Material Property Data
Crystallinity AnalysisEvaluating material characteristics based on crystal growth direction.Microstructure & Composition AnalysisIdentifying structural characteristics and internal defects via grain analysis.Physical/Mechanical Property EvaluationMeasuring complex mechanical, thermal, and electrical properties. -
Specimen Preparation Technology
High-Precision Data Through Sample Machining with Minimal Damage
Minimization of Physical DamageCustomized precision surface control (warpage, roughness, thickness).Ensuring Data ReliabilityDistortion-free specimen preparation for maximum analysis accuracy.
We predict material changes through virtual process simulations to derive optimal conditions, reducing development time and costs while ensuring superior product quality.
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Thermo-Structural & Dynamic AnalysisProactive Structural VerificationVerifying the operational limits and structural stability of core equipment.Thermal SimulationPredicting internal temperature distribution, thermal deformation, and collisions under varying process conditions.

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Flow & Particle AnalysisCoating Quality PredictionAnalyzing internal furnace airflow to optimize coating thickness and deposition uniformity.Contamination PreventionControlling particles by analyzing the behavior of fine particles.

AI technology quickly and accurately predicts the outcomes of part design and manufacturing processes.
By analyzing vast amounts of data, it derives optimal recipes and prevents defects, substantially enhancing development efficiency.
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Key Variable-Result Correlation ModelingKey Factor AnalysisAI analyzes historical data to identify key parameters and their relationships with outcomes.

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Real-Time & Proactive PredictionAI uses process and design data to predict quality, optimize process conditions, and detect anomalies in real time.
