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Simufact Engineering GmbH temperature-dependent material properties of ss316l
Temperature Dependent Material Properties Of Ss316l, supplied by Simufact Engineering GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/simufact+welding/temperature+dependent+material+properties+of+ss316l+adapted+from+simufact+welding++young%E2%80%99s+modulus+/pm40077266-97-70-73
Average 90 stars, based on 1 article reviews
temperature-dependent material properties of ss316l - by Bioz Stars, 2026-10
90/100 stars

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Article Title: On the Prediction and Optimisation of Processing Parameters in Directed Energy Deposition of SS316L via Finite Element Simulation and Machine Learning.
Article Snippet: Traditional programming requires developing the rules and instructions to handle the tasks specifically, but ML has no need for any explicit programming, and computers recognize the patterns, make choices, and predict and optimize the data (a) (b) (c) Figure 2. (a) Temperature-dependent material properties of SS316L adapted from Simufact Welding (Flow stress) [25], (b) Temperature-dependent material properties of SS316L adapted from Simufact Welding (Young’s Modulus), (c) Temperature-dependent material properties of SS316L adapted from Simufact Welding (thermal expansion) [25].

Article Title: On the Prediction and Optimisation of Processing Parameters in Directed Energy Deposition of SS316L via Finite Element Simulation and Machine Learning.
Article Snippet: Materials 2025, 18, x FOR PEER REVIEW 5 of 20 Figure 2. (a) Temperature-dependent material properties of SS316L adapted from Simufact Welding (Flow stress) [25], (b) Temperature-dependent material properties of SS316L adapted from Simufact Welding (Young’s Modulus), (c) Temperature-dependent material properties of SS316L adapted from Simufact Welding (thermal expansion) [25].

Article Title: On the Prediction and Optimisation of Processing Parameters in Directed Energy Deposition of SS316L via Finite Element Simulation and Machine Learning.
Article Snippet: The process parameters included in Table 3 were selected based on a previous study used to validate the simulation Materials 2025, 18, 1039 5 of 18 Materials 2025, 18, x FOR PEER REVIEW 5 of 20 Figure 2. (a) Temperature-dependent material properties of SS316L adapted from Simufact Welding (Flow stress) [25], (b) Temperature-dependent material properties of SS316L adapted from Simufact Welding (Young’s Modulus), (c) Temperature-dependent material properties of SS316L adapted from Simufact Welding (thermal expansion) [25].



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