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Product No. TX2025; ISBN # 978-0-87433-487-6; Hardbound (8.5” x 11”)
The 2025 Transactions of the American Foundry Society includes 62 technical papers encompassing a wide range of metalcasting technology. These papers cover the latest in metalcasting research and smart manufacturing, process and equipment developments, environmental health & safety, and foundry best-practice case studies. Papers are approved for inclusion in AFS Transactions after a rigorous peer-review process to ensure only original work of the highest quality is included. AFS Transactions has been published annually since 1896 and is considered the premier technical publication of the international metalcasting industry.
Volume 133 of the 2025 AFS Transactions includes scientific and academic research, as well as industry-based technical papers from suppliers, foundries and other sources specializing in metalcasting technology. These latest developments in state-of-the-art technology were prepared for the 129th Metalcasting Congress, April 12-15, 2025, on topics such as:
- Additive Manufacturing;
- Aluminum & Light Metals, Cast Iron, Copper, & Steel Alloys;
- Casting Designers & Buyers;
- Engineering and Smart Manufacturing;
- Environmental, Health & Safety;
- Lost Foam;
- Melting Methods & Materials;
- Metalcasting Research; and
- Molding Methods & Materials; and
- World Foundry Organization Papers
Keywords: 3D printing, additive manufacturing, AI, aluminum, aluminum alloys, artificial intelligence, austenite, automation, bentonite, binder jetting, binders, boron, carbon, carbon footprint, case study, cast iron, casting, Casting Alloy Data Search, casting fluidity, casting simulation, cast steel, ceramic aggregates, certified reference materials (CRM), charge mix, chemically bonded sand, cold box, compactability, composites, computational fluid dynamics (CVD), continuous improvement, cooling rate, core binder, copper, corrosion, cost reduction, CV graphite, data collection, defect mitigation, degassing, design, die casting, digital surface characterization, dimensional control, ductile iron, electron probe microanalysis (EPMA), engineered sand additive, environmental health and safety, ferrous, flake graphite, focused ion beam, Foundry 4.0, foundry safety, gas evolution, gating, gigacasting, grain refinement, graphene, graphite, gray iron, green sand, hardnenability, heat transfer, heat treatment, high-cycle fatigue, high strength steel, hollow aluminosilicate microspheres (HAM), hot box, I4.0 (Industry 4.0), induction melting, information technology, infrared heating, interfacial heat transfer coefficient (IHTC), integrated computational materials engineering (ICME), investment casting, iron, Kaizen, lead free, lightweighting, linear programming, liquid metal treatment, lost foam casting, loss-on-ignition (LOI), machinability, machine learning, macrosegregation, magnesium, manganese steel, mapping analysis, materials characterization, material properties, mechanical properties, mega castings, metalcasting, metal matrix composites, Metallic Materials Properties Development and Standardization (MMPDS), microstructure, mini-risers, model optimization, moisture content, Monday morning iron, multi-way principal component analysis (MPCA), niobium, nitrogen, nobake, nodularity, operational technology, optimization, oxide inclusions, patternless, permanent mold, permeability, phase change materials, phenolic urethan nobake (PUNB), porosity, pouring, precision sand casting process, ProCast, process modeling, production efficiency, property risk management, purchasing, quality, quench and partition, rapid casting, recycling, resin coated sand, retained austenite, risering, risk insurance, robust optimization, runners, safety, sand, sand casting, sand system control, SEM/EDX, shell, shrinkage, silica, silicon, simulation, smart manufacturing, solidification, steel, structural castings, surface alloying, sustainability, temperature effect, tensile, testing, TGA, thermal analysis, thermal properties, tilt-pour cups, Toyota, traceability, VPCA, VOCs, welding, XRF, Yield strength.