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Data Dimension: Thread Rolling Quality Index Across Plastic Grades

This dataset examines how the Thread Rolling Quality Index (TRQI) changes across three plastic grades under a standardized set of production conditions. Each month represents a full cycle of operation where process variables such as forming temperature, rolling speed, and lubrication are tightly controlled to isolate material response. The TRQI is calculated from a blend of thread form accuracy, surface finish, and dimensional stability, scaled from 0 to 100. Grade A demonstrates strong compatibility with moderate temperature increases, achieving high TRQI values by mid-year. Grade B starts with mid-range quality but improves steadily, indicating that parameter optimization and tooling wear compensation can yield significant gains. Grade C is more sensitive to process deviations, producing lower initial TRQI values and showing sharper improvements as the control system adapts.

Together, the three lines illustrate material-specific behavior and the impact of process refinement. The upward trajectories reflect improvements in tool wear management, lubrication consistency, and feedback control. The narrowing gap between grades toward the end of the year suggests that optimized process parameters can deliver robust thread quality across materials, reducing the need for extensive post-processing or rework. The chart helps identify where innovation adds the most value: for higher-grade materials, tightening tolerances and enhancing tooling geometry can yield immediate quality gains, while for more challenging grades, targeted lubrication improvements and synchronous control of temperature and pressure can produce larger performance boosts over time.

For suppliers and customers seeking reliable threaded components, this data dimension emphasizes the importance of cross-material process development and continuous monitoring. By tracking TRQI across grades, teams can prioritize research into adaptive controls, wear-resistant coatings, and standardized inspection methods that maintain consistent quality while supporting efficiency and cost reduction. The visual trend of the three lines serves as a concise decision-support tool for production planning, quality assurance, and supplier development initiatives, linking practical manufacturing actions with measurable quality outcomes.