Single Sensor Differential Thermal Analysis of Phase Transformations and Structural Changes During Welding and Postweld Heat Treatment

Alexandrov, Boian; Lippold, John C.

doi:10.1007/bf03266608

Cited by 35 publications

(17 citation statements)

References 3 publications

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“…As an efficient experimental check of nucleation behavior, transformation onset temperatures were measured in rapidly cooled arc melted samples of ME3 and Alloy10 using a Single Sensor Differential Thermal Analysis (SSDTA) technique developed at Ohio State University [15]. From nucleation theory, the most important material parameters affecting the nucleation rate are driving force (which is determined by the bulk thermodynamics), surface energy and elastic coherency energy.…”

Section: Nucleation Onset Temperatures and Ssdtamentioning

confidence: 99%

Precipitation Model Validation in 3rd Generation Aeroturbine Disc Alloys

Olson

Jou

Jung

et al. 2008

Superalloys 2008 (Eleventh International Symposium)

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In support of application of the DARPA-AIM methodology to the accelerated hybrid thermal process optimization of 3 rd generation aeroturbine disc alloys with quantified uncertainty, equilibrium and diffusion couple experiments have identified available fundamental thermodynamic and mobility databases of sufficient accuracy. Using coherent interfacial energies quantified by Single-Sensor DTA nucleation undercooling measurements, PrecipiCalc™ simulations of nonisothermal precipitation in both supersolvus and subsolvus treated samples show good agreement with measured γ' particle sizes and compositions. Observed longterm isothermal coarsening behavior defines requirements for further refinement of elastic misfit energy and treatment of the parallel evolution of incoherent precipitation at grain boundaries.

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Section: Nucleation Onset Temperatures and Ssdtamentioning

confidence: 99%

Precipitation Model Validation in 3rd Generation Aeroturbine Disc Alloys

Olson

Jou

Jung

et al. 2008

Superalloys 2008 (Eleventh International Symposium)

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“…Phase transformation temperatures during cooling after welding. To observe the transformation temperatures for the martensite and bainite transformation at both steels, a Single Sensor Differential Thermal Analysis [13] was realized. In Table 4 the transformation temperatures for all dummy seams are listed, based on the cooling curves registered by the type-K thermo couples and the two colour pyrometer.…”

Section: Resultsmentioning

confidence: 99%

Welding Residual Stress Distribution of Quenched and Tempered and Thermo-Mechanically Hot Rolled High Strength Steels

Schaupp

Schröpfer

Kromm

et al. 2014

AMR

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Abstract. Beside quenched and tempered (QT) high strength steels advanced technologies in steel manufacturing provide steels produced by the thermo-mechanical controlled process (TMCP) with yield strength of 960 MPa. These steels differ in the carbon and micro-alloying element content. With variation of heat control TIG-welded dummy seams on both steel types were performed. Analyses concerning microstructure and residual stress evolution due to welding showed typical stress distributions according to common concepts. Yet, the TMCP-steel shows higher residual stresses than the QT-steel.

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“…29,30 In addition, elastic coherency (misfit) energy, G el , can be evaluated for a further energy penalty to the precipitation when particles are coherent. In the work by Olson et al 31 the method of estimating coherent interfacial energy (G coh ) and elastic misfit energy was demonstrated using single sensor differential thermal analysis 32 combined with APT.…”

Section: Materials By Design: Design Enginementioning

confidence: 99%

“…Regarding the high sensitivity of interfacial energy in precipitation simulation, PrecipiCalc simulations were carried out by adjusting interfacial energy to match the critical nucleation undercooling accurately determined by the single sensor differential thermal analysis technique, which measures a precise thermal history of a rapidlyquenched 3-mm diameter pins. 31,32 Afterwards, the PrecipiCalc simulated microstructural attributes were further compared with the APT characterisation to evaluate uncertainty limits. It should be noted that, having demonstrated the importance of the AIM technique, a suite of advanced 3D tomographic multiscale characterisation tools were further developed under the support of ONR and DARPA.…”

Section: Aim: Accelerating Technology Transitionmentioning

confidence: 99%

Cybermaterials: materials by design and accelerated insertion of materials

Xiong

Olson

2016

npj Comput Mater

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Cybermaterials innovation entails an integration of Materials by Design and accelerated insertion of materials (AIM), which transfers studio ideation into industrial manufacturing. By assembling a hierarchical architecture of integrated computational materials design (ICMD) based on materials genomic fundamental databases, the ICMD mechanistic design models accelerate innovation. We here review progress in the development of linkage models of the process-structure-property-performance paradigm, as well as related design accelerating tools. Extending the materials development capability based on phase-level structural control requires more fundamental investment at the level of the Materials Genome, with focus on improving applicable parametric design models and constructing high-quality databases. Future opportunities in materials genomic research serving both Materials by Design and AIM are addressed. BACKGROUND: ICMD BLUEPRINTThe far-reaching multi-agency enterprise, Materials Genome Initiative (MGI), 1,2 highlights computational materials design techniques grounded in fundamental databases, which can support an ambition of decreasing the full development cycle of new materials from the present 10-20 years to ⩽ 5 years. As a subfield of the broader field of integrated computational materials engineering (ICME), which includes modelling of existing materials, 3,4 the MGI centres on design of new materials and their accelerated qualification through the inherent predictability of designed systems. Creation of the infrastructure of this technology has been a global activity as summarised in a recent series of viewpoint papers on materials genomics. 5-10 Particularly notable has been the design work of Bhadeshia 8 at the University of Cambridge and his former students including Harada 11,12 and Reed. 13 The highest achievements of full cycle compression have been demonstrated in US research, which will be the focus of this paper.In the development of applied engineering materials design powered by fundamental thermodynamic and kinetic genomic databases, a hierarchical infrastructure called ICMD presents a proven scenario of materials genomic design for accelerated engineering innovation. As indicated in Figure 1, the backbone of the ICMD infrastructure is composed of Materials by Design and accelerated insertion of materials (AIM) techniques. The application of both techniques spans the entire course of materials innovation, which can be divided into three phases: concept implementation, materials and processing design, and material qualification. The quality of the materials innovation is determined by the mechanistic models applied in the ICMD framework, which follow the universal process-structure-property-performance paradigm in materials science. 14 In Materials by Design, both process-structure and structure-property models are evaluated and refined to maximise the model-predictability grounded in the Materials Genome, which is powered by fundamental research on

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Single Sensor Differential Thermal Analysis of Phase Transformations and Structural Changes During Welding and Postweld Heat Treatment

Cited by 35 publications

References 3 publications

Precipitation Model Validation in 3rd Generation Aeroturbine Disc Alloys

Precipitation Model Validation in 3rd Generation Aeroturbine Disc Alloys

Welding Residual Stress Distribution of Quenched and Tempered and Thermo-Mechanically Hot Rolled High Strength Steels

Cybermaterials: materials by design and accelerated insertion of materials

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