Multivariate Monitoring and Evaluation of Dimensional Variability in Additive Manufacturing: A Comparative Study of EBM, FDM, and SLA

محفوظ في:
التفاصيل البيبلوغرافية
الحاوية / القاعدة:Processes vol. 13, no. 12 (2025), p. 3825-3847
المؤلف الرئيسي: Al-Ahmari, Abdulrahman M
مؤلفون آخرون: Moath, Alatefi, Ameen Wadea
منشور في:
MDPI AG
الموضوعات:
الوصول للمادة أونلاين:Citation/Abstract
Full Text + Graphics
Full Text - PDF
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

MARC

LEADER 00000nab a2200000uu 4500
001 3286348617
003 UK-CbPIL
022 |a 2227-9717 
024 7 |a 10.3390/pr13123825  |2 doi 
035 |a 3286348617 
045 2 |b d20250101  |b d20251231 
084 |a 231553  |2 nlm 
100 1 |a Al-Ahmari, Abdulrahman M  |u Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia; alahmari@ksu.edu.sa 
245 1 |a Multivariate Monitoring and Evaluation of Dimensional Variability in Additive Manufacturing: A Comparative Study of EBM, FDM, and SLA 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a This study evaluates AM dimensional performance using multivariate quality control methods. Three-dimensionally printed products include multivariate correlated quality characteristics (QCs) that should be evaluated together. Furthermore, the same 3D-printed product can be produced by various additive manufacturing techniques, necessitating a comparative analysis to figure out which process provides superior quality. This study evaluates three AM processes—electron beam melting (EBM), fused deposition Modeling (FDM), and stereolithography (SLA)—to assess their performance in multivariate quality control. The research methodology focuses on monitoring, evaluating, and comparing these three AM processes. A standardized benchmark specimen is designed and fabricated using each AM process. Seven critical dimensional QCs were identified, and their specification limits were established based on ISO standards. Data collection was conducted using a high-precision measurement technique. This study used an improved Multivariate Exponentially Weighted Moving Average (MEWMA) control chart for process monitoring to detect deviations. The subsequent process evaluation used Multivariate Process Capability Indices (MPCIs) to assess conformance to specification limits. Then, a sensitivity study was conducted to assess the variability within each AM process. The findings identify the QC that contributes most to variation in each AM process and show clear differences in dimensional performance among EBM, SLA, and FDM, supporting process selection for precision applications. 
653 |a Mechanical properties 
653 |a Fused deposition modeling 
653 |a Accuracy 
653 |a Comparative analysis 
653 |a Transplants & implants 
653 |a Performance evaluation 
653 |a Quality control 
653 |a Optimization 
653 |a Control charts 
653 |a Factorial experiments 
653 |a Process planning 
653 |a Monitoring 
653 |a Manufacturing 
653 |a Additive manufacturing 
653 |a Variability 
653 |a Polymers 
653 |a Comparative studies 
653 |a Electron beam melting 
653 |a Research methodology 
653 |a Capability indices 
653 |a Specifications 
653 |a Process controls 
653 |a Research design 
653 |a Multivariate analysis 
653 |a Process selection 
653 |a Control methods 
653 |a Lithography 
700 1 |a Moath, Alatefi  |u Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia; alahmari@ksu.edu.sa 
700 1 |a Ameen Wadea  |u Industrial Engineering Department, College of Engineering, Al Yamamah University, Riyadh 11512, Saudi Arabia; w_qaid@yu.edu.sa 
773 0 |t Processes  |g vol. 13, no. 12 (2025), p. 3825-3847 
786 0 |d ProQuest  |t Materials Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3286348617/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3286348617/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3286348617/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch