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Journal : applied science and technology research journal

Comparison of 3D Printing Technologies for Polymer-HA Bone Scaffolds: A Systematic Review Toward Hybrid Fabrication Strategies Kumarajati, Dhananjaya Yama Hudha; Herianto; Herliansyah, Muhammad Kusumawan; Kusmono; Tontowi, Alva Edy
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.8230

Abstract

Bone scaffold fabrication using 3D printing faces a fundamental dilemma: the trade-off between mechanical strength and biological functionality. To address this challenge, a systematic literature review (SLR) of 28 primary research articles was conducted to compare various hydroxyapatite-based scaffold fabrication technologies. The analysis confirms a clear trade-off: Fused Filament Fabrication (FFF) excels in mechanical strength, Digital Light Processing (DLP) in architectural precision (<100 µm), and Direct Ink Writing (DIW) in flexibility for bio-functionality, proving no single method is ideal. The main conclusion is that hybrid fabrication strategies—intelligently integrating the strengths of multiple technologies—offer the most promising approach to creating functional scaffolds with an optimal balance of strength and bioactivity for future clinical applications.
Technology Trends, Innovations, and Future Research Directions in 3D Printing (Additive Manufacturing): A Systematic Literature Review Santoso, Banu; Dhananjaya Yama Hudha Kumarajati; Herianto; Alva Edy Tontowi; Muhammad Kusumawan Herliansyah
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.8232

Abstract

3D printing or Additive Manufacturing (AM) technology has experienced rapid growth in the past five years, driven by the integration of new technologies such as artificial intelligence (AI), bio- and nano-composite materials, and blockchain-based security systems. This study aims to analyze technology trends, key innovations, and predict future research directions in AM using a Systematic Literature Review (SLR) approach to 80 Scopus/WoS indexed articles. The results show that AI plays a central role in improving production efficiency and accuracy, while material innovations expand AM applications to the medical and aerospace sectors. In addition, the application of 4D printing and blockchain is beginning to form a new paradigm in intelligent and decentralized manufacturing. The 2025–2030 research roadmap compiled from these findings shows a strategic focus on adaptive AI, multifunctional bioinks, modular manufacturing systems, and full integration between AM, blockchain, and smart materials. This study not only identifies research trends and gaps but also offers strategic contributions to the development of future AM technologies in a more adaptive, sustainable, and secure manner.
A Comprehensive Review of AI, Machine Learning, Deep Learning, and GANs Integration in Additive Manufacturing: Trends, Applications, and Challenges Santoso, Banu; Herianto; Wangi Pandan Sari; Alva Edy Tontowi
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.8233

Abstract

The integration of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Generative Adversarial Networks (GANs) into Additive Manufacturing (AM) has opened new horizons for intelligent, efficient, and adaptive production processes. This paper provides a comprehensive review of current trends, diverse applications, and emerging challenges in the convergence of these technologies within AM systems. We explore how AI-driven techniques contribute to real-time monitoring, defect detection, process optimization, and design generation, enhancing the overall quality, precision, and scalability of 3D printing. ML and DL approaches enable predictive modeling and adaptive control, while GANs offer promising capabilities in generative design and synthetic data augmentation. The review highlights key research contributions, technological advancements, and industrial implementations, mapping the landscape of intelligent AM. Moreover, it discusses the limitations of data availability, model interpretability, computational requirements, and integration complexities. Finally, the study identifies future directions for research, including hybrid AI models, physics-informed learning, and sustainable AM development. By synthesizing multidisciplinary insights, this paper aims to guide researchers and practitioners toward more intelligent, automated, and sustainable additive manufacturing frameworks through the strategic adoption of AI and its subfields. Keywords: Additive Manufacturing, Machine Learning, Artificial Intelligence, 3D Printing, Deep Learning
Co-Authors Agus Windharto Almy, Raeshifa Diani Amanda Nur Cahyawati Ambar Pertiwiningrum Andi Sudiarso, Andi Andy Nurul Yunita Pettalolo Angger Bagus Prasetiyo Anggita Gigih Wahyu Iriawan, Anggita Gigih Wahyu Anna Maria Sri Asih Aoyama, Hideki Arie Kurniawan Arie Kurniawan Arif Kusumawanto Arif Kusumawanto Arman Hakim Nasution Avin Fadilla Helmi Banu Santoso Bhawika, Gita Widi Budhi Sholeh Wibowo Budi Hartono Budi Hartono Budi Rochardjo, Heru Santosa Catur Sugiyanto Dawal, Siti Zawiah Md Dawi Karomati Baroroh Deendarlianto Dhananjaya Yama Hudha Kumarajati Dian Pribadi Perkasa Djoko Kuswanto Djoko Kuswanto Erizal Erizal Erni Suparti, Erni Ghazali, Ihwan Handiwibowo, Gogor Arif Hari Agung Yuniarto Herianto Heru Santoso Budi Rochardjo, Heru Santoso Budi Hideki Aoyama Ibnu Abdul Rosid IDAA Warmadewanthi Ihwan Ghazali Indarto Indarto Indrajati, Heppy Riani Jamasri . Joko Sedyono, Joko Joni Setiawan Joni Setiawan Kusmono Lilik Soetiarso Lina Dianati Fathimahhayati, Lina Dianati Mahardhika, Syaqila Erie Margaretha Arnita Wuri Marlyana, Novi Marsetyawan Heparis Nur Ekanda Soesatyo Marsetyawan HNE Soesatyo Mochammad Andy Rizqy Mochammad Noer Ilman Mochammad Taha Ma’ruf Mohamad Khoiru Rusydi Muhammad Kusumawan Herliansyah Muhammad Ridlwan Muhammad Shodiq Abdul Khannan Novi Marlyana Nugraha Muharafandy Nur Aini Masruroh Perttalolo, Andy Nurul Yunita Prabowo, Teguh Ari Putra, Gaustama Putra, Ikbal Rizki Raeshifa Diani Almy Rahardyan Magetsari Rahmanto, Nurdin Rama Atyasa Y Rashid, Salwa Hanim Abdul Rudy Firman Prakosa Salwa Hanim Abdul Rashid Sella Antesty Siti Afiani Musyarofah Siti Sunarintyas Siti Zawiah Md Dawal Slamet Widyanto, Slamet Soedarmanto Indarjulianto Soedarmanto Indarjulianto Soetiarso, Lilik Supriyatno Supriyatno Susilo Adi Widyanto Syawaluddin Adha Pohan Taufik Hidayat Taufik Hidayat Teguh Ari Prabowo Titis Wijayanto Tri Purwanti Wangi Pandan Sari Widiastuti, Maria Goreti Widowati Siswomihardjo Widyanto, Slamet A. Widyastuti Widyastuti Windharto, Agus Wiratni Wiratni, Wiratni Yanti Pasmawati Yeni Yustisia