5th Computational Methods and Ocean Technology (COTech 2026)

Session

Design Optimization, Additive Manufacturing Technologies & applications

CT06

Not scheduled

KE E-102 (University of Stavanger, Norway)

8. A framework for multi-criteria optimization of TPMS-based scaffolds for bone tissue engineering applications

Mr Dejene Alemayehu (Wallaga University)

Paper Contribution

Abstract
Large bone defects remain a major clinical challenge due to the limited regenerative capacity of bone and the limitations of conventional grafting methods, including donor site morbidity, immune complications, and limited availability. Bone tissue engineering (BTE) offers a promising alternative; however, balancing mechanical strength, permeability, and biological performance remains...

24. A lean manufacturing framework for improving warehouse management in Ethiopian pharmaceutical supply chain: A case study of Nekemte hub

Dr Endalkachew Mosisa (wollega university)

Paper Contribution

Effective warehouse management within pharmaceutical supply chains is critical for ensuring drug availability and healthcare quality. This research establishes a contextual Lean Warehousing framework to optimize operations at the Nekemte Hub of the Ethiopian Pharmaceutical Supply Service (EPSS). The study addresses prominent supply chain inefficiencies, including excess inventory, frequent...

22. AI-Driven Process–Structure Modeling of Sonochemically Synthesized Composite Materials Using Machine Learning and Computer Vision

Muhammad Tayyab Noman (Technical University of Liberec)

Paper Contribution

The development of advanced composite materials requires a comprehensive understanding of the relationships between processing conditions, microstructural evolution, and resulting material properties. However, optimization of synthesis parameters remains challenging due to the complex and nonlinear interactions governing composite fabrication. This study presents an AI-driven computational...

53. ASSESSMENT AND FUTURE PROSPECTS OF LEAN MANUFACTURING IMPLEMENTATION IN TRANSPORT SERVICE: A CASE STUDY AT NEKEMTE CITY

Mr Ermiyas Dereje Benti (Bonsa Regassa (PhD))

Paper Contribution

Lean manufacturing, a management philosophy emphasizing waste elimination, continuous improvement, and the creation of value through efficient processes, can be implemented in transport services. Despite the growing demand for reliable transportation options due to population growth and urbanization, Nekemte city transportation service is plagued by issues such as long waiting times,...

79. Assessment of Awareness Level towards Industry 4.0 Technology in Manufacturing Industry. (A case of Water Bottle Companies)

Prof. Hirpa Gelgale Lemu (Faculty of Science and Technology, University of Stavanger, N-4036 Stavanger, Norway), Mr Negasa Feyisa (Ambo University Institute of Technology, Ambo, Ethiopia)

Paper Contribution

The objective of this study is to assess awareness level towards Industry 4.0 (I4.0) technology in Manufacturing Industry, a case of beverage industry in Ethiopia. The study used both closed-ended questions with single and multiple responses and open-ended questions to collect primary data from the respondents. The collected data analysed using descriptive statistics (frequency and percentage)...

34. CFD analysis of additive manufacturing coils for pelvic congestion

Dr Ibuki Kusano (IQS School of Engineering)

Paper Contribution

Pelvic Congestion Syndrome (PCS) is characterized by venous insufficiency in ovarian and pelvic veins, leading to blood reflux and chronic pelvic pain. Current endovascular treatments rely on the deployment of multiple metallic coils, whose crimped length necessitates repeated implantation to effectively occlude varicose branches and redirect flow. In this study, we propose a biodegradable...

9. Compression of gyroid infill with different densities

Andrés-Amadir García-Granada (IQS)

Paper Contribution

Additive manufacturing enables significant weight reduction through controlled variation of infill density, yet reliable material data across densities is essential for accurate simulation. In this study, components are fabricated using standard PLA and consumer-grade printers with gyroid infill structures at varying densities. Experimental compression testing is performed to determine key...

46. Computational simulation of 4D printing : Modeling time dependent and Machine learning to predict shape transformation

Robsan Abebe Asefa (University of Stavanger | Wollega University)

Paper Contribution

Abstract:
Extending 3D printing shape transformation undergoes the incorporation of smart materials and programmability over external stimulus time response. The time-dependent response is challenged due to the complex interaction and nonlinear behavior of process parameters and design influences of materials. However, modeling the computation and modeling dynamic behavior and structures of...

33. Crimping analysis of additive manufacturing coils for pelvic congestion

Dr Joaquin Menacho (IQS School of Engineering)

Paper Contribution

Pelvic Congestion Syndrome (PCS) is associated with venous insufficiency in ovarian and pelvic veins, leading to blood reflux and chronic pain. Current treatments rely on endovascular implantation of metallic coils, which undergo significant length changes during crimping for catheter delivery, often requiring multiple implants to achieve effective occlusion. In this study, we focus on the...

48. Design, Fabrication, and Biomechanical Validation of a Multi-Material Synthetic Proximal Femur Surrogate Using PolyJet Technology

Laia Mendoza Gordi (International University of Catalonia | Reykjavik University), Maria Stella Malloni (University of Padua | Reykjavik University), Dr Yonatan Afework Tesfahunegn (Reykjavik University)

Paper Contribution

The development of anatomically realistic synthetic bone surrogates offers a promising alternative to cadaveric specimens for orthopedic biomechanics research. This study proposes an integrated design-to-validation framework for a multi-material PolyJet-printed surrogate of the proximal human femur. Patient-derived CT data were used to reconstruct femoral geometry, while combinations of...

3. Development of a Small-Scale Artificial Intelligence (A.I.) module to Generate Primary Computer Aided Drawing (CAD) for the Initial Design Phases of the Machinery Facility Layouts in the Shipbuilding Industry.

Dr Ove Tobias Gudmestad (Western Norway University of Applied Sciences), Mr Tariq Wazed Akash (Western Norway University of Applied Sciences)

Paper Contribution

Deadline-based environment often degrades the quality of designs from a naval architect. This research proposes a non-human (A.I.) designer to automate basic marine designs, focusing on 2D topology optimization for ships' engine room. The study investigates the design automation and its potential impacts on the maritime industry. The methodology involved technical datasets from built ships to...

49. Effect of Powder Reuse on Tensile Strength of AlSi10Mg Alloy Produced by Selective Laser Melting

Dr Yonatan Afework Tesfahunegn (Reykjavik University)

Paper Contribution

Selective laser melting (SLM) is widely used to manufacture high-performance AlSi10Mg components for aerospace, automotive, and biomedical applications due to its ability to produce complex geometries with excellent mechanical properties. However, the economic viability of SLM depends on efficient powder reuse, making it essential to understand how repeated recycling influences the mechanical...

92. Explainable Artificial Intelligence and Supervised Machine Learning for Surface Roughness Prediction of Additively Manufactured PLA Specimens

Mr Kifle Mesfine (Bahir Dar University)

Poster Contribution

Abstract

Additive manufacturing (AM) has emerged as promising manufacturing technology for producing geometrically complex components with reduced material waste and greater design flexibility. However, surface quality of additively manufactured components remains an important concern because surface roughness can affect dimensional accuracy, functional performance, and the structural...

20. Extraction, Properties, and Bioplastic Applications of Microalgal Starch: A Critical Review

Ms Kokeb Hurruma Jiru (University of Stavanger)

Paper Contribution

Microalgal starch is emerging as a promising and environmentally responsible resource for bioplastic production at a time when global dependence on conventional plastics continues to escalate. Because microalgae accumulate starch rapidly, exhibit flexible biochemical composition, and do not require arable land, they offer a sustainable alternative to terrestrial crops traditionally used for...

67. Finite Element Analysis of Surface Contact Fatigue Crack Propagation in Spur Gears under Rolling-Sliding Contact

Ms Debrework Teketel

Paper Contribution

This study investigates surface contact fatigue crack propagation in spur gears subjected to rolling-sliding contact using the Finite Element Method (FEM). The extended Finite Element Method (XFEM) with an energy-based damage evolution criterion was employed to simulate mixed-mode crack propagation. The influence of key parameters, including applied torques of 132, 199, and 265 Nm and friction...

21. Generative Adversarial Network-Based Explainable Machine Learning Framework for Composite Material Design and Optimization

Nesrine Amor (Technical University of Liberec)

Paper Contribution

Limited experimental data remain a major challenge in developing reliable machine learning models for composite material design and optimization. This study investigates the use of Generative Adversarial Network (GAN)-based data augmentation to enhance predictive modeling capabilities under small-data conditions. Conditional Tabular GAN (CT-GAN) and Copula-GAN were employed to generate...

81. Identifying the Key AI-Enabled Benefits Enhancing 3D Printing Performance: A DEMATEL Based Approach

Dr Tekalign Lemma (Assistant professor at Ambo University)

Paper Contribution

Abstract: This study aims to investigate the key AI-enabled benefits that enhance the performance of 3D printing technology. Eleven key AI-enabled benefits were identified through extensive literature review and in consultation with expertise in AI, additive manufacturing, industry workers, and higher institution academic staffs. Among the identified enablers, Decision-Making Trial and...

87. Machining Process Optimization in Turning of Al6061 Using Response Surface Methodology and Desirability Function Analysis

Prof. Hirpa G Lemu (Advisor), Mr Jao Birhanu (Wallaga University)

Paper Contribution

Abstract
In metal machining, surface quality is critical factor for products.In particular, in computer numerical control (CNC) turning , a product surface quality is influenced by many parameters.This study used Al6061 as workpiece and employed response surface analysis to optimize CNC turning parameters. In the CNC turning process, cutting speed (Vc),feed rate (Fr) and depth of cut (d) were...

19. Optimization and Minimization of Surface Roughness and Temperature during the milling of Aluminium LM26 reinforced MWCNT Using RSM and DFA

Dr Endalkachew Mosisa (Wollega University)

Paper Contribution

Castable aluminum-silicon alloy LM26 is widely used in applications requiring high wear resistance, low thermal expansion, and excellent high-temperature strength. This study investigates the sustainable machining performance of LM26 reinforced with multi-wall carbon nanotubes (MWCNTs) at weight fractions of 0.25%, 0.5%, and 0.75%. Composites were fabricated through stir casting at 700°C and...

55. Pameter Optimization in CNC Dry Turning of AISI 1060 Steel for Sustainable Manufacturing

Mr Tesfaye Oljira Geleta (endakem5@gmail.com)

Paper Contribution

Metal cutting is a common operation performed in modern manufacturing industries. Integration of high-precision machines like NC machines improved the issues related to downtime and human intervention as well as product quality AISI 1060 is a high-carbon steel commonly used in automotive components such as clutch discs, shafts, and axles. The purpose of this study is to investigate how dry...

14. Parametric Design and Optimization of Shredder Rotor Carriage Using Ansys Workbench

Mr Edosa K. Tesema (Technion – Israel Institute of Technology, Faculty of Civil and Environmental Engineering, Technion City, Haifa 3200003, Israel)

Paper Contribution

This paper presents a parametric optimization approach applied to a plastic shredder rotor blade carriage. Initially, the model is parameterized in SolidWorks and then imported into Ansys Design Explorer to analyze parameter sensitivities. Based on this analysis, five critical parameters are selected, with objectives to minimize total deformation, maximize strength, and ensure safety. The...

78. Process Parameter Optimization for Porosity Reduction in Selective Laser Melting of AlSi10Mg Using Finite Element Simulation with Response Surface Methdology

Ms Kidist Lemma (Department of Mechanical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia)

Paper Contribution

Selective Laser Melting (SLM), a laser powder bed fusion process, enables fabrication of complex AlSi10Mg components with high dimensional accuracy. However, achieving near-fully dense parts remains challenging because porosity is strongly influenced by the interaction of processing parameters. While previous studies have extensively investigated effects of laser power and scanning speed, the...

64. SLA-Printed Enset Fiber-Reinforced Tough 1500 Resin Composites: Simulation-Based Validation for Automotive Structural Applications

Mrs Tishager Taye Teriya (University oof Stavanger and wollega University)

Paper Contribution

Abstract
Synthetic fiber-reinforced composites have been widely utilized in sectors such as automotive and aerospace. However, increasing environmental concerns associated with synthetic fibers have redirected focus toward natural fiber reinforcements, appreciated for their biodegradability, recyclability, and ecological safety. Natural fiber polymer composites demonstrate notable strength,...

61. Thermal, Mechanical, and Biological Characterization of SLA-Printed Biomed Clear–Polycaprolactone Blends

Yosef Wakjira Adugna

Paper Contribution

Stereolithography enables high-resolution scaffold fabrication, but commercial photopolymer resins often lack the flexibility and biological performance required for tissue engineering. This study developed SLA-printable blends of medical-grade Biomed Clear resin with 5, 10, and 15 wt% polycaprolactone (PCL), using polyethylene glycol 400 as a plasticizer. The printed materials were evaluated...

77. Topology Optimization and Thermal Modeling of Wire Arc Additive Manufacturing for Formula SAE Front Upright

Nathan Alemayehu (Jimma University)

Paper Contribution

Topology optimization enables the development of lightweight and high-performance components, although the resulting complex geometries are often difficult to manufacture using conventional methods. Wire Arc Additive Manufacturing (WAAM) provides an effective solution due to its high deposition rate, material efficiency, and capability to fabricate large metallic structures. However, the...

60. Toward Closed-Loop Autonomy in 4D Printing Through Systematic Evidence Mapping and AI Maturity Assessment

Dr Yosef Wakjira Adugna (University of Stavanger)

Paper Contribution

Four-dimensional printing extends additive manufacturing by enabling printed structures to change shape, properties, or functionality over time in response to external stimuli. Although artificial intelligence is increasingly used in additive manufacturing for material prediction, inverse design, process optimization, defect detection, and control, the extent to which these capabilities...