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Showing 1 to 8 of 8 for “"maraging steel"”.

  1. Metallurgical Studies of Fatigue Damage in Maraging Steel

    Made available in DSpace on 2014-12-10T17:57:49Z (GMT). No. of bitstreams: 1 6711866.pdf: 4658539 bytes, checksum: d77294e41db3c68c53917c8f926eca5c (MD5) Previous issue date: 1967

    uiuc Repository record for Metallurgical Studies of Fatigue Damage in Maraging Steel (opens in a new tab)

  2. Resetting microstructures and properties in TRIP-assisted advanced high strength steels

    … alloy is the transformation-induced plasticity-maraging (TRIP-maraging) steel. However, current resettable TRIP-maraging steels require long and unfeasible resetting treatments. The limit of resetting kinetics has not been reached and the microstructure resetting mechanism has not been fully …

    mit Repository record for Resetting microstructures and properties in TRIP-assisted advanced high strength steels (opens in a new tab)

  3. Penetration in granite by shaped charge liners of various metals

    … (T-3), aluminum 7075 (T-6), yellow brass, monel, maraging steel (vascomax 250), and copper was measured. Metals having high ductility and moderate compressive strength penetrated deeper than high strength maraging steel. Aluminum required a greater standoff for optimum penetration than the other …

    must-thes Repository record for Penetration in granite by shaped charge liners of various metals (opens in a new tab)

  4. A novel torsional spring design for knee prostheses and exoskeletons

    … is capable of providing 100 N-m of torque. The maraging steel spring is predicted to have a total diameter of 0.112 meters, width of 0.005 meters, and mass of 98 grams. With this form factor, the planar spring design provides a more compact alternative to elastic elements currently used in …

    mit Repository record for A novel torsional spring design for knee prostheses and exoskeletons (opens in a new tab)

  5. Real-Time Thermography for In Operando Additive Manufacturing Defect Mitigation using a Machine Learning Approach

    … and geometric deformations on the surfaces of maraging steel (M300) and Nickel-based Superalloy (In718) constructs and its correlation with process parameters. Post processed thermal image datasets were utilized to train a supervised machine learning model (Multi-Layer Perceptron) for defect …

    houston Repository record for Real-Time Thermography for In Operando Additive Manufacturing Defect Mitigation using a Machine Learning Approach (opens in a new tab)

  6. Hodnocení obrobitelnosti materiálu vyrobeného pomocí aditivní technologie

    … hodnocením obrobitelnosti vysoce pevnostní maraging oceli M300, která je vyrobena ve třech typech vzorků. Dva vzorky byly aditivně vyrobeny metodou Selective Laser Melting, z nichž byl jeden následně tepelně zpracován. Třetí vzorek byl vyroben konvenčním způsobem pomocí válcování. Testování …

    brno-tech Repository record for Hodnocení obrobitelnosti materiálu vyrobeného pomocí aditivní technologie (opens in a new tab)