ADDITIVE MANUFACTURING AND 3D PRINTING FOR AEROSPACE AND AUTOMOTIVE INDUSTRIES

Md Mahbubur Rahman; Ahsan Ramzan

Authors

Md Mahbubur Rahman
Ahsan Ramzan

Abstract

Background: Additive Manufacturing (AM) and 3D Printing technologies have significantly impacted the aerospace and automotive industries, enhancing production processes, reducing costs, and improving product quality. This study explores the adoption and effectiveness of these technologies in these sectors, focusing on various factors such as material performance, production speed, and cost reduction.Objectives: The primary objective of this research was to evaluate the influence of AM and 3D printing on key outcomes in the aerospace and automotive industries. The study aimed to identify the relationships between variables such as technology adoption, material performance, workforce skill level, and production efficiency, as well as to assess the internal consistency and reliability of the survey instrument.Methodology: A quantitative research design was adopted, using structured surveys administered to professionals in the aerospace and automotive sectors. The survey collected data on various aspects of AM and 3D printing, with responses measured on a Likert scale. Statistical analysis, including the Shapiro-Wilk normality test, Cronbach's Alpha reliability test, Pearson correlation, and linear regression, was performed to assess the data.

Results: The Shapiro-Wilk test revealed that the data did not follow a normal distribution, indicating the need for non-parametric statistical methods. The Cronbach’s Alpha value of 0.0075 indicated poor internal consistency, suggesting the survey instrument required refinement. Correlation analysis revealed weak relationships between most variables, and the regression analysis highlighted varying levels of influence of independent variables on the outcomes, with material performance and production speed showing stronger effects.

Conclusion: While the study provides useful insights into the role of AM and 3D printing in the aerospace and automotive industries, the issues related to normality and reliability suggest the need for improvements in the survey instrument and data analysis techniques. Further research is required to refine these methods and obtain more reliable and actionable findings.

Keywords (Additive Manufacturing, 3D Printing, Aerospace, Automotive, Technology Adoption, Production Efficiency, Cost Reduction, Reliability, Regression Analysis).