Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design of Transmission Shafts01:16

Design of Transmission Shafts

The design of a transmission shaft is governed by two primary specifications: the power it transmits and its rotational speed. These parameters guide the selection of the shaft's material and cross-sectional dimensions, ensuring that the material's maximum shearing stress remains within the elastic limit while transmitting the desired power at the given speed. The system's power is intrinsically linked to the applied torque. The torque applied to the shaft can be calculated by reconfiguring the...
Transmission Shafts: Problem Solving01:09

Transmission Shafts: Problem Solving

Designing a solid shaft that transmits power from a motor to a machine tool involves a series of calculations to ensure the shaft can withstand the stresses applied by bending moments and torques. First, calculate the torque exerted on the gear, considering the power transmitted by the shaft and its rotational speed. Following this, compute the tangential forces acting on the gears, which directly relate to the torque and the gear radius.
Next, use bending moment diagrams for the shaft to...
Design of Transmission Shafts - Stress Analysis01:15

Design of Transmission Shafts - Stress Analysis

Designing a transmission shaft requires a thorough understanding of the stresses induced by bending moments and torques, especially in systems where power is transferred through gears. These forces create force-couple systems at the centers of the shaft's cross-sections, leading to both transverse and torsional loading. Although shearing stresses from transverse loads are typically smaller than those from torques and are often overlooked, the significant normal stresses from these loads...
Maximum Power Transfer01:16

Maximum Power Transfer

Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
Bus Impedance Matrix01:24

Bus Impedance Matrix

Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
Transmission Line Design Considerations01:23

Transmission Line Design Considerations

Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Characterizing the performance of an antibiotic resistance prediction tool, gnomonicus, using a diverse test set of 2,663 <i>Mycobacterium tuberculosis</i> samples.

Microbial genomics·2025
Same author

Evaluating 12 automated, whole-genome sequencing analysis pipelines for Mycobacterium tuberculosis complex: a comparative study.

The Lancet. Microbe·2025
Same author

Rudolf Nieuwenhuys (11 June 1927-4 November 2024): a scholarly life.

Brain structure & function·2025
Same author

Rudolf Nieuwenhuys's later studies in neuroanatomy and functional neuroimaging.

Brain structure & function·2025
Same author

Direct oral anticoagulant failure in patients with venous thromboembolism-why and what next?

Journal of thrombosis and haemostasis : JTH·2025
Same author

Balloon occlusion testing for non-sinus-stenosis venous pulsatile tinnitus: A technical case series.

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences·2025

Related Experiment Video

Updated: May 14, 2026

Micro-drive Array for Chronic in vivo Recording: Tetrode Assembly
14:19

Micro-drive Array for Chronic in vivo Recording: Tetrode Assembly

Published on: April 22, 2009

Engineering of 7T transmit multi-row arrays.

Mikhail Kozlov1, Robert Turner

  • 1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. kozlov@cbs.mpg.de

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary

Researchers improved radio frequency (RF) transmit array coil simulations by incorporating realistic loss estimations. Custom components and Matlab integration significantly accelerated post-processing for enhanced experimental and numerical result matching.

More Related Videos

Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays for High-Throughput Large-Scale Sample Inspection
05:04

Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays for High-Throughput Large-Scale Sample Inspection

Published on: June 13, 2023

Micro-drive Array for Chronic in vivo Recording: Drive Fabrication
14:03

Micro-drive Array for Chronic in vivo Recording: Drive Fabrication

Published on: April 20, 2009

Related Experiment Videos

Last Updated: May 14, 2026

Micro-drive Array for Chronic in vivo Recording: Tetrode Assembly
14:19

Micro-drive Array for Chronic in vivo Recording: Tetrode Assembly

Published on: April 22, 2009

Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays for High-Throughput Large-Scale Sample Inspection
05:04

Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays for High-Throughput Large-Scale Sample Inspection

Published on: June 13, 2023

Micro-drive Array for Chronic in vivo Recording: Drive Fabrication
14:03

Micro-drive Array for Chronic in vivo Recording: Drive Fabrication

Published on: April 20, 2009

Area of Science:

  • Electrical Engineering
  • Medical Imaging Technology

Background:

  • Accurate simulation of radio frequency (RF) transmit array coils is crucial for magnetic resonance imaging (MRI).
  • Existing simulation tools have limitations in accurately modeling component losses, leading to discrepancies between predicted and experimental outcomes.
  • Optimizing RF coil design requires precise incorporation of all loss mechanisms.

Purpose of the Study:

  • To enhance the accuracy of RF transmit array coil simulations by including realistic loss estimations.
  • To develop customized circuit components for simulation tools to overcome built-in limitations.
  • To improve the efficiency of the simulation workflow, particularly post-processing stages.

Main Methods:

  • Incorporated realistic estimations of component losses into RF transmit array coil simulations.
  • Designed customized lossy circuit components to extend the capabilities of standard simulation software.
  • Relocated time-consuming post-processing tasks to Matlab, achieving significant speed improvements.

Main Results:

  • Achieved a better match between experimental results and numerical predictions for RF transmit array coils.
  • Accelerated post-processing by up to a factor of 100 through Matlab integration.
  • Developed a simulation methodology capable of supporting the fabrication of complex dual-row arrays.

Conclusions:

  • Customized component design and efficient post-processing are vital for accurate RF coil simulations.
  • The enhanced simulation approach supports the development of advanced multi-element RF transmit arrays.
  • This work facilitates more reliable numerical predictions, aiding in the fabrication of improved MRI hardware.