Singer Anup Jalota disclosed that the Ghazal star was battling cancer before his death, despite the family's claim that he passed away from a protracted illness. Anup said in a recent interview that Pankaj had been receiving treatment for pancreatic cancer for the previous two to three months. | Tellychakkar.com
Mahesh Bhatt, who directed Naam — the film features Pankaj Udhas in a ghazal sequence — recalled shooting for the song and how the late singer’s voice added to the success of the film in a big way
Well, the reports said the singer was battling his illness for quite a long time and now, the news has been confirmed by different people from the singing industry. | Tellychakkar.com
On the second anniversary of Russia’s invasion of Ukraine, the uncertainty regarding the future of the conflict has split opinions in Washington, placing military assistance to Kyiv and sanctions on Moscow in a nebulous zone.
In the era of Industry 4.0 and smart manufacturing, Wire Arc Additive Manufacturing (WAAM) stands at the forefront, driving a paradigm shift towards automated, digitalized production. However, online simulation remains a technical barrier toward building a Digital Twin (DT) for metallic AM due to the prolonged computing time of numerical simulations and limitations in accuracy of current data-driven models. This study addresses these issues by introducing an adaptive online simulation model for predicting distortion fields, utilizing a diffusion model architecture for distortion process modelling with a Vector Quantized Variational AutoEncoder coupled with Generative Adversarial Network (VQVAE-GAN) backbone for spatial feature extraction, complemented by a Recurrent Neural Network (RNN) for time-scale result fusion. Pretrained offline with Finite Element Method (FEM) simulated distortion fields, the model successfully predicts distortion fields online using laser-scanned point clouds during the deposition process. Experimental validation on seven thin-wall structures demonstrated its superior performance, achieving a Root Mean Square Error (RMSE) below 0.9 m, outperforming FEM by 143 % and Artificial Neural Networks (ANN) based methods by 151 %, marking a significant stride towards realizing an AM-DT.
At the end of last year, the US National Transportation Safety Board Chair, Jennifer Homendy, announced that the NTSB was discontinuing their “Most Wanted List” of desired improvements in aviation, rail, marine and road transportation. Rick Adams, FRAeS, discusses this and more in the latest Editorial Comment for CAT.
It is common to use heat treatment process to control the microstructure of additive manufacturing parts and improve the mechanical properties. However, there are few reports about the control of microstructure properties of WAAM hybrid inter-layer hammering fabricated parts by heat treatment. In this study, the effect of annealing on microstructure and mechanical properties of inter-layer hammering hybrid wire arc additively manufactured aluminum alloy was studied. The ratio variation of fine grain (FG) and coarse grain (CG) regions, grain size and dislocations were analyzed, and the strength-plasticity mechanism was revealed. The results shown that with the increase of annealing temperature, the ratio of FG and CG region changed from 4:1–1:5, grain growth and recrystallization happened in FG and CG regions, respectively, dislocations mostly retained in FG region and released in CG region. With the introduction of annealing and the increase of annealing temperature, the strength of hybrid manufactured samples gradually weakened while the plasticity first improved and then reduced. The best tensile properties of ultimate tensile stress 366 MPa and elongation 29.2% were achieved at 180 °C annealing. Compared with as-deposited sample, the synergistic enhancement of strength and plasticity in annealed samples is owing to dislocation strengthening, grain refinement, and heterogeneous structural strengthening. Compared with hammered sample, the strength retained and significant improved in plasticity of annealed sample, owing to dislocation released, grain refinement and heterogeneous structural.