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Primeur weekly 2016-08-22

Special

ExaCT team shows how Legion S3D code is a tribute to co-design on the way to exascale supercomputing ...

Focus

Sunway TaihuLight's strengths and weaknesses highlighted by Jack Dongarra ...

Exascale supercomputing

Big PanDA tackles Big Data for physics and other future extreme scale scientific applications ...

Computer programming made easier ...

Quantum computing

Cryptographers from the Netherlands win 2016 Internet Defense Prize ...

Focus on Europe

STFC Daresbury Laboratory to host 2016 Hands-on Tutorial on CFD using open-source software Code_Saturne ...

Middleware

Germany joins ELIXIR ...

Columbus Collaboratory announces CognizeR, an Open Source R extension that accelerates data scientists' access to IBM Watson ...

Cycle Computing optimizes NASA tree count and climate impact research ...

GPU-accelerated computing made better with NVIDIA DCGM and PBS Professional ...

Hardware

Mellanox demonstrates accelerated NVMe over Fabrics at Intel Developers Forum ...

Nor-Tech has developed the first affordable supercomputers designed to be used in an office, rather than a data centre ...

NVIDIA CEO delivers world's first AI supercomputer in a box to OpenAI ...

AMD demonstrates breakthrough performance of next-generation Zen processor core ...

CAST and PLDA Group demonstrate x86-compliant high compression ratio GZIP acceleration on FPGA, accessible to non-FPGA experts using the QuickPlay software defined FPGA development tool ...

IBM Research - Almaden celebrates 30 years of innovation in Silicon Valley ...

Wiring reconfiguration saves millions for Trinity supercomputer ...

Cavium completes acquisition of QLogic ...

Applications

Soybean science blooms with supercomputers ...

NOAA launches America's first national water forecast model ...

Computers trounce pathologists in predicting lung cancer type, severity, researchers find ...

Star and planetary scientists get millions of hours on EU supercomputers ...

Bill Gropp named acting director of NCSA ...

Latest NERSC/Intel/Cray dungeon session yields impressive code speed-ups ...

User-friendly language for programming efficient simulations ...

New book presents how deep learning neural networks are designed ...

Liquid light switch could enable more powerful electronics ...

Energy Department to invest $16 million in computer design of materials ...

Pitt engineers receive grant to develop fast computational modelling for 3D printing ...

Environmental datasets help researchers double the number of microbial phyla known to be infected by viruses ...

Teaching machines to direct traffic through deep reinforcement learning ...

Simulations by PPPL physicists suggest that magnetic fields can calm plasma instabilities ...

New material discovery allows study of elusive Weyl fermion ...

New maths to predict dangerous hospital epidemics ...

Kx financial analytics technology tackles Big Data crop research at biotech leader Earlham Institute ...

The Cloud

New hacking technique imperceptibly changes memory virtual servers ...

Pitt engineers receive grant to develop fast computational modelling for 3D printing


The supporting structures failed for these four fatigue test bars. The stress build-up in the longer length of the bars created an excessive curling force on the outer edges of the support structures, resulting in fracture. Credit: Albert To/Swanson School of Engineering.
16 Aug 2016 Pittsburgh - As additive manufacturing (AM), or 3D printing, becomes more commonplace, researchers and industry are seeking to mitigate the distortions and stresses inherent in fabricating these complex geometries. Researchers at the University of Pittsburgh's Swanson School of Engineering and Pittsburgh-based manufacturer Aerotech Inc. recently received a $350,000 grant from the National Science Foundation to address these design issues by developing new, fast computational methods for additive manufacturing.

The proposal, "Novel Computational Approaches to Address Key Design Optimization Issues for Metal Additive Manufacturing", is a three-year, $350,000 Grant Opportunities for Academic Liaison with Industry (GOALI) grant funded by the NSF's Division of Civil, Mechanical and Manufacturing Innovation (CMMI). The team, based in the Swanson School's Department of Mechanical Engineering and Materials Science, includes Associate Professor and Principal Investigator Albert To; and co-PIs Assistant Professor Sangyeop Lee and Adjunct Associate Professor Stephen Ludwick. Aerotech Inc. will partner with Pitt by providing designs and evaluation. The group's research is an extension of previous funding from the Research for Advanced Manufacturing in Pennsylvania programme (RAMP).

"The ability to create geometrically complex shapes through additive manufacturing is both a tremendous benefit and a significant challenge", Dr. To stated. "Optimizing the design to compensate for residual distortion, residual stress, and post-machining requirements can take days or even months for these parts."

To mitigate these challenges, Dr. To and his group will first develop a simple yet accurate thermomechanics model to predict residual stress and distortion in an AM part. Next, they will develop a topology optimization method capable of generating designs with both free-form surfaces and machining-friendly surfaces. According to Dr. To, this will compensate for the geometric complexity and organic nature of AM parts, which contribute to their potential for distortion and post-machining problems. These approaches will then be developed and tested using real parts and design requirements provided by Aerotech.

Aerotech's Stephen Ludwick expects that "the tools developed through this collaboration will allow us to produce the complex parts enabled by additive manufacturing with a minimum of trial-and-error and rework. This in turn allows us to design stiff and lightweight components in our high-speed motion systems which are also used by other companies engaged in advanced manufacturing."

"By utilizing advanced mechanic theory, we hope to reduce design optimization of additive manufactured parts to minutes, thereby reducing the time of design life cycle", Dr. To stated. "This would lead to wider adoption of AM by the U.S. manufacturing base and further improve the economic sustainability of the additive manufacturing process."

Source: University of Pittsburgh

Back to Table of contents

Primeur weekly 2016-08-22

Special

ExaCT team shows how Legion S3D code is a tribute to co-design on the way to exascale supercomputing ...

Focus

Sunway TaihuLight's strengths and weaknesses highlighted by Jack Dongarra ...

Exascale supercomputing

Big PanDA tackles Big Data for physics and other future extreme scale scientific applications ...

Computer programming made easier ...

Quantum computing

Cryptographers from the Netherlands win 2016 Internet Defense Prize ...

Focus on Europe

STFC Daresbury Laboratory to host 2016 Hands-on Tutorial on CFD using open-source software Code_Saturne ...

Middleware

Germany joins ELIXIR ...

Columbus Collaboratory announces CognizeR, an Open Source R extension that accelerates data scientists' access to IBM Watson ...

Cycle Computing optimizes NASA tree count and climate impact research ...

GPU-accelerated computing made better with NVIDIA DCGM and PBS Professional ...

Hardware

Mellanox demonstrates accelerated NVMe over Fabrics at Intel Developers Forum ...

Nor-Tech has developed the first affordable supercomputers designed to be used in an office, rather than a data centre ...

NVIDIA CEO delivers world's first AI supercomputer in a box to OpenAI ...

AMD demonstrates breakthrough performance of next-generation Zen processor core ...

CAST and PLDA Group demonstrate x86-compliant high compression ratio GZIP acceleration on FPGA, accessible to non-FPGA experts using the QuickPlay software defined FPGA development tool ...

IBM Research - Almaden celebrates 30 years of innovation in Silicon Valley ...

Wiring reconfiguration saves millions for Trinity supercomputer ...

Cavium completes acquisition of QLogic ...

Applications

Soybean science blooms with supercomputers ...

NOAA launches America's first national water forecast model ...

Computers trounce pathologists in predicting lung cancer type, severity, researchers find ...

Star and planetary scientists get millions of hours on EU supercomputers ...

Bill Gropp named acting director of NCSA ...

Latest NERSC/Intel/Cray dungeon session yields impressive code speed-ups ...

User-friendly language for programming efficient simulations ...

New book presents how deep learning neural networks are designed ...

Liquid light switch could enable more powerful electronics ...

Energy Department to invest $16 million in computer design of materials ...

Pitt engineers receive grant to develop fast computational modelling for 3D printing ...

Environmental datasets help researchers double the number of microbial phyla known to be infected by viruses ...

Teaching machines to direct traffic through deep reinforcement learning ...

Simulations by PPPL physicists suggest that magnetic fields can calm plasma instabilities ...

New material discovery allows study of elusive Weyl fermion ...

New maths to predict dangerous hospital epidemics ...

Kx financial analytics technology tackles Big Data crop research at biotech leader Earlham Institute ...

The Cloud

New hacking technique imperceptibly changes memory virtual servers ...