Automotive exterior parts are continuously exposed to sunlight, temperature cycling, and rain, requiring modified PP to retain appearance and structural integrity. Super-Xenon weathering (higher irradiance) accelerates differentiation among weathering-resistant formulations during early R&D. Using six PP formulations plus a PE reference sample, the study employs the PE carbonyl index (CI) as an environmental yardstick to compare flexural strength decay and surface crack development at different irradiances, emphasizing that high irradiance cannot be simply converted into acceleration factors—screening efficiency and natural-weathering relevance should be designed as separate objectives.

Poisson’s ratio is an essential input for finite-element simulations, describing transverse contraction relative to longitudinal extension. Its accuracy is particularly important for reinforced plastics, composites, elastomers, and structures sensitive to deformation, clearance, and contact. NIIC offers contact strain measurement and Digital Image Correlation (DIC), enabling simultaneous determination of longitudinal and transverse strains, full-field displacement and strain distributions, repeatability, strain localization, and directional behavior for more reliable material models.

NIIC Testing Center conducts failure analysis on an automotive accelerator pedal arm (LGFPP with 50% glass fiber, fractured below the 1100 N qualification threshold). The technical workflow covers material verification (FTIR confirms PP matrix, TGA shows ~50% glass fiber content) → microstructure analysis (fiber distribution/orientation/porosity) → fracture behavior, across three layers. Analysis reveals short glass fiber length, insufficient fiber coating, and uneven flow (MFR 4.3 vs 3.6 g/10 min) as root causes of the fracture.

NIIC Testing Center launches a bio-based carbon content testing service for polymer materials. Bio-PE and petroleum-based PE can share identical molecular structures, making it impossible for conventional FTIR or thermal analysis to distinguish carbon sources. ¹⁴C isotope quantification exploits the decay difference between modern biomass and fossil-derived carbon, enabling quantitative evaluation of bio-based carbon content. Methods comply with GB/T 39715.2-2021 and ISO 16620-2:2019 Method A, supporting USDA BioPreferred, ISCC PLUS, OK biobased and other international certification systems.

Molding PEEK for robotics often faces short-shot and under-fill issues—the root cause is "high performance ≠ easy processing." A four-level evaluation (fast screening → complete rheology → model fitting → injection validation) is needed for PEEK melt flow under real processing conditions. MFR alone is a single-point metric; a complete viscosity-shear rate-temperature rheology curve (fitted via Carreau-Yasuda) is more valuable. PEEK's shear-thinning behavior means injection speed, gate design, and staged velocity profiles can improve filling without significantly raising melt temperature.

The root cause of mismatches between injection molding CAE predictions and actual trial-mold outcomes often lies in inaccurate material data, not just process parameters. A usable UDB material file requires complete rheology curves (viscosity-shear rate-temperature) and PVT data, not just a single MFR value. NIIC's testing center provides rheology testing, PVT testing, and UDB material file generation for PP/PA/PBT/glass-fiber-reinforced materials—key for closing the gap between simulation and production.

This article presents a multi-dimensional mechanical evaluation framework for OCA optical adhesive used in foldable displays. Using40×10×1 mm OCA specimens, the study covers S-shaped stress-strain curves at varied strain rates, hyperelastic constitutive model fitting (Mooney-Rivlin 5-parameter), stress relaxation at 30/60/85 °C, and DMA-based storage modulus / loss factor analysis from −40 °C to 125 °C. The 0 °C Tg, Prony parameters, and time-temperature superposition master curves support structural simulation and reliability validation for foldable displays.

For polymer grafting modification materials such as PP-g-MAH and POE-g-MAH, grafting rate determination requires rigorous attention to measurement technique, calibration baseline, and sample pre-treatment conditions. NIIC's testing center delivers structural identification, quantitative grafting rate analysis, and interference assessment by combining chemical titration with FTIR spectroscopy and purification procedures like solvent extraction. The service supports supplier evaluation, formulation R&D, and batch quality control across the polymer industry.

Comparing MAT22, MAT54, MAT55, MAT58 and MAT59 simulation material card models for low-velocity impact simulation of CFRP composites. The study reveals that lower-energy impacts (5 J) are actually harder to predict accurately, with damage prediction varying dramatically (201–1290 mm² versus experimental 680 mm²). Simulation accuracy depends not just on material parameters but on whether the chosen MAT card's failure criteria match the actual damage mechanism — matrix cracking, delamination, or fiber breakage.

Chip packaging warpage evaluation demands a systematic framework linking thermomechanical properties, temperature response, and package deformation. By integrating TMA, DMA, and multi-position warpage comparison across BGA/PBGA structures, manufacturers capture CTE mismatch between EMC and substrate, modulus shifts near Tg, and residual strain from cure and reflow processes. This approach supports advanced packaging R&D, process optimization, residual stress analysis, and automotive-grade reliability validation for domestic material localization.

For this Teacher's Day, NIIC Analysis and Testing Center launches the "Three as Teachers" sharing campaign and releases the Polymer Materials R&D Evaluation Guide—a curated index of 135 technical articles across seven topics: chemical composition analysis, physical & mechanical testing, combustion & electrical safety, aging & environmental reliability, failure analysis, simulation parameters and microstructural characterization. Designed as a long-term reference index for materials R&D and quality engineering rather than a textbook to be read cover-to-cover, it helps practitioners quickly locate the right starting point whenever a material problem arises.

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