Application of Electric-Analog Computers to Heat-Transfer and Fluid-Flow Problems

1949 ◽  
Vol 16 (3) ◽  
pp. 247-258
Author(s):  
G. D. McCann ◽  
C. H. Wilts
Keyword(s):  
Heat Transfer ◽  
Fluid Flow ◽  
High Speed ◽  
Analog Computer ◽  
Flow Problems ◽  
California Institute Of Technology ◽  
Mathematical Problems ◽  
Electric Analog ◽  
Institute Of Technology ◽  
Moderate Complexity

Abstract There are two general classes of mathematical problems encountered in science and engineering for which high-speed mechanical computation is required. One of these embraces those problems of such complexity that it is impractical to obtain even a few solutions by conventional analysis. In the other class are problems which may be of only moderate complexity, but in which it is necessary to obtain a large number of solutions before the results become of practical value. It is the intent of this paper to discuss some of the applications that have been made of the California Institute of Technology “electric-analog computer” to heat-transfer and fluid-flow problems of both of the classes mentioned.

Rails on Elastic Foundations Under the Influence of High-Speed Traveling Loads

1953 ◽  
Vol 20 (1) ◽  
pp. 13-22
Author(s):  
H. E. Criner ◽  
G. D. McCann
Keyword(s):  
High Speed ◽  
Narrow Range ◽  
Analog Computer ◽  
Point Load ◽  
Specific Design ◽  
Computer Technique ◽  
Elastic Foundations ◽  
Constant Magnitude ◽  
Electric Analog ◽  
Track Beam

Abstract This paper presents an electric-analog-computer technique for the analysis of beams on elastic foundations that are subjected to traveling loads. This method is applicable to the study of such conditions as nonuniform beams, load magnitude and velocity variations, and such nonlinear conditions as the beam leaving contact with the foundation for upward deflections. A general set of dimensionless solutions is presented for the specific case of a point load of constant magnitude and velocity traveling over an infinite uniform linear track beam. These show high values of deflection and moment for a rather narrow range of velocity above and below the critical velocities producing peak disturbances. It was found that quite high accelerations are required to produce significantly less disturbance than in the constant velocity case. A range of nonlinear track-bouncing conditions was studied in connection with a specific design problem. For none of these cases could more severe conditions be produced than indicated by the linear solutions.

Numerical Solutions of Nano/Microphenomena Coupled With Macroscopic Process of Heat Transfer and Fluid Flow: A Brief Review

2015 ◽  
Vol 137 (9) ◽  
Author(s):  
Ya-Ling He ◽  
Wen-Quan Tao
Keyword(s):  
Heat Transfer ◽  
Fluid Flow ◽  
Numerical Solutions ◽  
Dynamics Simulation ◽  
Computational Time ◽  
Computational Domain ◽  
Flow Problems ◽  
Coupling Algorithms ◽  
Volume Method ◽  
Boltzmann Method

In this paper, numerical simulation approaches for multiscale process of heat transfer and fluid flow are briefly reviewed, and the existing coupling algorithms are summarized. These molecular dynamics simulation (MDS)–finite volume method (FVM), MD–lattice Boltzmann method (LBM), and direct simulation of Monte Carlo method (DSMC)–FVM. The available reconstruction operators for LBM–FVM coupling are introduced. Four multiscale examples for fluid flow and heat transfer are presented by using these coupled methods. It is shown that by coupled method different resolution requirements in the computational domain can be satisfied successfully while computational time can be significantly saved. Further research needs for the study of multiscale heat transfer and fluid flow problems are proposed.

The Pransky interview: Dr. Matanya Horowitz, founder and CEO of AMP robotics

2020 ◽  
Vol 47 (3) ◽  
pp. 319-323
Author(s):  
Joanne Pransky
Keyword(s):  
High Speed ◽  
Applied Mathematics ◽  
Industrial Robot ◽  
Electrical Engineering ◽  
Content Type ◽  
University Of Colorado ◽  
California Institute Of Technology ◽  
In Series ◽  
Institute Of Technology ◽  
And Robotics

Purpose This paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD-turned entrepreneur regarding his pioneering efforts of bringing technological inventions to market. The paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Matanya Horowitz, Founder and CEO of AMP Robotics, an industrial artificial intelligence (AI) and Robotics Company that automates the identification, sorting and processing of complex waste streams to extract maximum value for their customers. Horowitz discusses how he came to found this groundbreaking company and created disruptive innovations. Findings Horowitz earned four bachelor degrees in electrical engineering, computer science, applied mathematics and economics, as well as a master’s degree in electrical engineering, all from the University of Colorado. He also holds a PhD in control and dynamical systems from the California Institute of Technology with publications and research in control theory, AI, robotic path planning and computer vision. Shortly after finishing his PhD, he founded Louisville, Colorado-based AMP Robotics in 2014 with the mission of changing the fundamental economics of recycling. In the Fall of 2019, AMP raised $16m in Series A funding, led by Sequoia Capital. Originality/value Horowitz developed and commercialized AMP’s breakthrough AI platform, AMP Neuron™ and robotics system, AMP Cortex™, which automates high-speed identification, sorting, picking and processing of material streams. Horowitz was individually recognized as Waste360’s “2019 Innovator of the Year” in addition to being named in their “40 under 40” list. AMP has received numerous awards and gained international recognition, including The Circulars 2018 Award for “Circular Economy Top Tech Disruptor” at the World Economic Forum in Davos, and the NWRA’s (National Waste and Recycling Association) “2017 Innovator of the Year” award.

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