Publications

Characterization of a Novel Maraging Steel for Laser-Based Powder Bed Fusion: Optimization of Process Parameters and Post Heat Treatments
Nouri, N.; Li, Q.; Damon, J.; Mühl, F.; Graf, G.; Dietrich, S.; Schulze, V.
2022. Journal of Materials Research and Technology, 18, 931–942. doi:10.1016/j.jmrt.2022.02.126

Experimentelle und numerische Untersuchungen resultierender Randschichtzustände und Eigenschaften carbonitrierter pulvermetallurgisch hergestellter Bauteile. PhD dissertation
Damon, J. M.
2022, January 27. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000142202

Transformation Plasticity in Carbonitrided PM-Steels: Quantification of Plasticity Effects in Dependence of the Part Density*
Damon, J. M.; Dietrich, S.; Schulze, V.
2021. HTM - journal of heat treatment and materials, 76 (6), 458–477. doi:10.1515/htm-2021-0021

Experimental and Numerical Investigation of the Surface Layer Conditions after Carbonitriding of Powder Metallurgical Steels. Part 2: Surface Layer States in Components of Graded Porosity = Experimentelle und numerische Untersuchung der Randschichtzustände nach dem Carbonitrieren pulvermetallurgischer Stähle. Teil 2: Randschichtzustände in gradiert porösen Bauteilen
Damon, J. M.; Pulvermacher, S.; Dietrich, S.; Schulze, V.
2021. HTM - journal of heat treatment and materials, 76 (4), 273–297. doi:10.1515/htm-2021-0009

High-cycle fatigue and surface layer stability of case-hardened PM-steels with graded porosity
Damon, J. M.; Jung, E.; Zürn, M.; Dietrich, S.; Schulze, V.
2021. Powder metallurgy, 64 (4), 262–272. doi:10.1080/00325899.2021.1901027

Experimental and Numerical Investigation of the Surface Layer Conditions after Carbonitriding of Powder Metallurgical Steels. Part 1: Diffusion in Components of Graded Porosity
Damon, J. M.; Surm, H.; Saddei, P.; Dietrich, S.; Schulze, V.
2021. HTM - journal of heat treatment and materials, 76 (1), 36–57. doi:10.1515/htm-2020-0003

Simulation of induction hardening: Simulative sensitivity analysis with respect to material parameters and the surface layer state
Mühl, F.; Damon, J.; Dietrich, S.; Schulze, V.
2020. Computational materials science, 184, Art. Nr.: 109916. doi:10.1016/j.commatsci.2020.109916

Implications of carbon, nitrogen and porosity on the γ→α′ martensite phase transformation and resulting hardness in PM-steel Astaloy 85Mo
Damon, J.; Dietrich, S.; Schulze, V.
2020. Journal of materials research and technology, 9 (4), 8245–8257. doi:10.1016/j.jmrt.2020.05.035

Experimental investigation and finite-element modeling of the short-time induction quench-and-temper process of AISI 4140
Kaiser, D.; Damon, J.; Mühl, F.; Graaff, B. de; Kiefer, D.; Dietrich, S.; Schulze, V.
2020. Journal of materials processing technology, 279, Article no: 116485. doi:10.1016/j.jmatprotec.2019.116485

Process porosity and mechanical performance of fused filament fabricated 316L stainless steel
Damon, J.; Dietrich, S.; Gorantla, S.; Popp, U.; Okolo, B.; Schulze, V.
2019. Rapid prototyping journal, 25 (7), 1319–1327. doi:10.1108/RPJ-01-2019-0002

Orientation Dependent Fatigue Performance and Mechanisms of Selective Laser Melted Maraging Steel X3NiCoMoTi18-9-5
Damon, J.; Hanemann, T.; Dietrich, S.; Graf, G.; Lang, K.-H.; Schulze, V.
2019. International journal of fatigue, 127, 395–402. doi:10.1016/j.ijfatigue.2019.06.025

Process Development and Impact of Intrinsic Heat Treatment on the Mechanical Performance of Selective Laser Melted AISI 4140
Damon, J.; Koch, R.; Kaiser, D.; Graf, G.; Dietrich, S.; Schulze, V.
2019. Additive manufacturing, 28, 275–284. doi:10.1016/j.addma.2019.05.012

A Comparative Study of Kinetic Models Regarding Bainitic Transformation Behavior in Carburized Case Hardening Steel 20MnCr5
Damon, J.; Mühl, F.; Dietrich, S.; Schulze, V.
2018. Metallurgical and materials transactions / A, 1–14. doi:10.1007/s11661-018-5004-6

Process dependent porosity and the influence of shot peening on porosity morphology regarding selective laser melted AlSi10Mg parts
Damon, J.; Dietrich, S.; Vollert, F.; Gibmeier, J.; Schulze, V.
2018. Additive manufacturing, 20, 77–89. doi:10.1016/j.addma.2018.01.001