Chinnapat Panwisawas
University of Birmingham
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Featured researches published by Chinnapat Panwisawas.
Advanced Materials Research | 2011
Chinnapat Panwisawas; Jean Christophe Gebelin; Nils Warnken; Robert W. Broomfield; Roger C. Reed
During the manufacture of turbine blades from single crystal nickel-based superalloys by investment casting, recrystallisation can occur during solution heat treatment. The introduction of grain boundaries into a single crystal component is potentially detrimental to performance, and therefore manufacturing processes and/or component geometries should be chosen to prevent their occurrence. In this work, numerical models have been designed to enable a predictive capability for the factors influencing recrystallisation to be constructed. The root cause is plasticity on the microscale caused by differential thermal contraction of metal, mould and core; when the plastic deformation is sufficient, recrystallisation can take place subsequently. The models take various forms. First, one-dimensional models based upon static equilibrium have been produced – our calculations indicate that plastic strain is likely to take place in two temperature regimes: by creep between 1150°C and 1000°C and by tensile (time-independent) strain below 650°C. The idea of a strain-based criterion for recrystallisation is then proposed. Second, more sophisticated three-dimensional calculations based upon the finite element method are carried out. Our predictions are compared critically with experimental information.
Scientific Reports | 2017
Chinnapat Panwisawas; N. D’Souza; D.M. Collins; Ayan Bhowmik
Time dependent plastic deformation in a single crystal nickel-base superalloy during cooling from casting relevant temperatures has been studied using a combination of in-situ neutron diffraction, transmission electron microscopy and modelling. Visco-plastic deformation during cooling was found to be dependent on the stress and constraints imposed to component contraction during cooling, which mechanistically comprises creep and stress relaxation. Creep results in progressive work hardening with dislocations shearing the γ′ precipitates, a high dislocation density in the γ channels and near the γ/γ′ interface and precipitate shearing. When macroscopic contraction is restricted, relaxation dominates. This leads to work softening from a decreased dislocation density and the presence of long segment stacking faults in γ phase. Changes in lattice strains occur to a similar magnitude in both the γ and γ′ phases during stress relaxation, while in creep there is no clear monotonic trend in lattice strain in the γ phase, but only a marginal increase in the γ′ precipitates. Using a visco-plastic law derived from in-situ experiments, the experimentally measured and calculated stresses during cooling show a good agreement when creep predominates. However, when stress relaxation dominates accounting for the decrease in dislocation density during cooling is essential.
Metallurgical and Materials Transactions B-process Metallurgy and Materials Processing Science | 2016
Richard Turner; Chinnapat Panwisawas; Yogesh Sovani; Bama Perumal; R. Mark Ward; Jeffery Brooks; Hector Basoalto
Laser welding has become an important joining methodology within a number of industries for the structural joining of metallic parts. It offers a high power density welding capability which is desirable for deep weld sections, but is equally suited to performing thinner welded joints with sensible amendments to key process variables. However, as with any welding process, the introduction of severe thermal gradients at the weld line will inevitably lead to process-induced residual stress formation and distortions. Finite element (FE) predictions for weld simulation have been made within academia and industrial research for a number of years, although given the fluid nature of the molten weld pool, FE methodologies have limited capabilities. An improvement upon this established method would be to incorporate a computational fluid dynamics (CFD) model formulation prior to the FE model, to predict the weld pool shape and fluid flow, such that details can be fed into FE from CFD as a starting condition. The key outputs of residual stress and distortions predicted by the FE model can then be monitored against the process variables input to the model. Further, a link between the thermal results and the microstructural properties is of interest. Therefore, an empirical relationship between lamellar spacing and the cooling rate was developed and used to make predictions about the lamellar spacing for welds of different process parameters. Processing parameter combinations that lead to regions of high residual stress formation and high distortion have been determined, and the impact of processing parameters upon the predicted lamellar spacing has been presented.
Acta Materialia | 2015
Chunlei Qiu; Chinnapat Panwisawas; Mark Ward; Hector Basoalto; Jeffery Brooks; Moataz M. Attallah
Scripta Materialia | 2015
Chinnapat Panwisawas; Chunlei Qiu; Yogesh Sovani; Jeffery Brooks; Moataz M. Attallah; Hector Basoalto
Computational Materials Science | 2017
Chinnapat Panwisawas; Chunlei Qiu; Magnus Anderson; Yogesh Sovani; Richard Turner; Moataz M. Attallah; Jeffery Brooks; Hector Basoalto
Acta Materialia | 2013
Chinnapat Panwisawas; Harshal N. Mathur; J.-C. Gebelin; Duncan Putman; C.M.F. Rae; Roger C. Reed
Acta Materialia | 2017
Chinnapat Panwisawas; Bama Perumal; R. Mark Ward; Nathanael Turner; Richard Turner; Jeffery Brooks; Hector Basoalto
Acta Materialia | 2017
Harshal N. Mathur; Chinnapat Panwisawas; C. Neil Jones; Roger C. Reed; C.M.F. Rae
Scripta Materialia | 2017
D.M. Collins; N. D’Souza; Chinnapat Panwisawas