Automation of Material Testing Workflows: By leveraging GPT-4 for automated analysis and report generation, the research will significantly reduce the turnaround time of data processing and lessen dependence on human analysts, thus improving lab efficiency.Improved Accuracy in Material Performance Analysis: The fine-tuned GPT-4 model will learn to interpret multi-modal input data—including images, text, and sensor readings—enabling more comprehensive and accurate assessments of material performance.Expansion of LLM Applications in Engineering: This study will demonstrate that large language models can be effectively applied to material science problems, pushing the boundaries of LLM usage from purely linguistic tasks into scientific reasoning and industrial analytics.