Microstructural and neutron residual stress characterization of 316L laser-powder bed fusion simplified end-use part: A modelling benchmark
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
sciences sciences Making sure you're not a bot! Loading... You are seeing this because the administrator of this website has set up Anubis to protect the server against the scourge of AI companies aggressively scraping websites. This can and does cause downtime for the websites, which makes their resources inaccessible for everyone. Anubis is a compromise. Anubis uses a Proof-of-Work scheme in the vein of Hashcash, a proposed proof-of-work scheme for reducing email spam. The idea is that at individual scales the additional load is ignorable, but at mass scraper levels it adds up and makes scraping much more expensive. Ultimately, this is a placeholder solution so that more time can be spent on fingerprinting and identifying headless browsers (EG: via how they do font rendering) so that the challenge proof of work page doesn't need to be presented to users that are much more likely to be legitimate. Please note that Anubis requires the use of modern JavaScript features that plugins like JShelter will disable. Please disable JShelter or other such plugins for this domain. Protected by Anubis From Techaro . Mascot design by CELPHASE . This website is running Anubis version devel .
Related documents
- Effect of the surface condition, defects, residual stresses and microstructure on the fatigue strength of 316L stainless steel additively manufactured by Laser Powder Bed Fusion#156126
- The Importance of Subsurface Residual Stress in Laser Powder Bed Fusion IN718#388055
- Dataset for: "Predictive Modeling for Low-Power Direct Energy Deposition of 316L Stainless Steel#1041547
- Machine learning of fatigue behaviors of metal components fabricated by laser powder bed fusion#372488
- Uncertainty quantification of fatigue initiation life for powder bed fusion metal additive manufacturing#925525
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive