Multi-material additive manufacturing is gaining attention for its ability to combine the strengths of different materials into a single part. In this study, a sandwich structure made of 316L stainless steel and ER70-S mild steel was created using a Meltio M600 laser-based wire Directed Energy Deposition (W-DED) system...
S. Shivashankar, Akash Nag, J. Hajnyš et al.· MM Science Journal· 0 citations
Regenerative chatter severely limits productivity in machining operations, and tuned mass dampers (TMDs) are widely used for passive chatter suppression. However, most existing TMD designs neglect workpiece dynamics and rely on two-degree-of-freedom assumptions, leading to suboptimal performance when tool and workpiece...
Saravanamurugan Sundaram, J. Petrů, Karjagi Kiran Suresh et al.· Journal of Manufacturing and...· 0 citations
The UN Sustainable Development Goals (SDGs 7 and 13) have accelerated the search for sustainable carbon materials to address energy and environmental challenges. Hydrothermal carbonization (HTC) effectively converts wet biomass into hydrochar without energy-intensive drying. However, raw hydrochar’s low surface area an...
S. Mohan, Qais Salim Issa Tabouk, R. Ghadai et al.· Sustainability· 0 citations
Machining-induced residual stress, cutting force, and temperature govern the fatigue life, dimensional stability, and surface integrity of milled components, yet predictive models for these responses are still routinely validated only in-sample, concealing overfitting on small, single-laboratory datasets. This study re...
P. Marimuthu, J. Petrů, Thenarasu Mohanavelu· Machines· 0 citations
Cold Spray Additive Manufacturing (CSAM) is a solid-state process that enables high-rate fabrication and repair of metallic components with low thermal input, making it suitable for heat-sensitive materials. Its wider industrial adoption, however, is constrained by challenges in porosity control, geometric accuracy nea...
Hoang-Sy Nguyen, Dac-Hung Ho, Quoc-Phu Ma et al.· MM Science Journal· 0 citations
Background: When a small design-of-experiments dataset is used to optimize a machining process with particle swarm optimization (PSO), the regression model chosen as the fitness function is rarely validated against more than one candidate response, checked against alternative model families, or checked for the optimiza...
P. Marimuthu, J. Petrů, Thenarasu Mohanavelu· Journal of Manufacturing and...· 0 citations
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