Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Calorimetry

Calorimetry

When objects at different temperatures are placed in contact with each other but isolated from everything else, they attain thermal equilibrium. A container that prevents heat transfer in or out is called a calorimeter, and the use of a calorimeter to make measurements is called calorimetry. Generally, these measurements involve heat or specific heat capacity. The term "calorimetry problem" is used for any problem where the specified objects are thermally isolated from their surroundings. An...

Constant Volume Calorimetry

Constant Volume Calorimetry

Calorimeters are useful to determine the heat released or absorbed by a chemical reaction. Coffee cup calorimeters are designed to operate at constant (atmospheric) pressure and are convenient to measure heat flow (or enthalpy change) accompanying processes that occur in solution at constant pressure. A different type of calorimeter that operates at constant volume, colloquially known as a bomb calorimeter, is used to measure the energy produced by reactions that yield large amounts of heat and...

Constant Pressure Calorimetry

Constant Pressure Calorimetry

Calorimetry is a technique used to measure the amount of heat involved in a chemical or physical process or to measure the heat transferred to or from a substance. The heat is exchanged with a calibrated and insulated device called the calorimeter. Calorimetry experiments are based on the assumption that there is no heat exchange between the insulated calorimeter and the external environment. The well-insulated calorimeters prevent the transfer of heat between the calorimeter and its external...

You might also read

Related Articles

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

Sort by

Same author

Physiologic responses to running with a jogging stroller.

International journal of sports medicine·2012

Same author

Phase-only joint-transform correlator: analysis and experimental results.

Applied optics·2010

Same author

Optical wavelet transform by the phase-only joint-transform correlator.

Applied optics·2010

Same author

Photo-compact-disk-based optical correlator.

Applied optics·2010

Same author

Multitarget detection using spatial synthesis joint transform correlation.

Applied optics·2010

Same author

Use of electron-trapping materials in optical signal processing. IV: Parallel incoherent image subtraction.

Applied optics·2010

Search research articles

Related Experiment Video

Updated: Jun 15, 2026

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy

Published on: June 10, 2019

Automated analysis of laser calorimetric data.

D A Gregory, R B McCown

|March 10, 2010

Summary

This summary is machine-generated.

A computer and numerical algorithm were developed to analyze laser calorimetry data. This method accurately reduces temperature-time data, even with noise and scattered laser light.

More Related Videos

Laser-heating and Radiance Spectrometry for the Study of Nuclear Materials in Conditions Simulating a Nuclear Power Plant Accident

Laser-heating and Radiance Spectrometry for the Study of Nuclear Materials in Conditions Simulating a Nuclear Power Plant Accident

Published on: December 14, 2017

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

Related Experiment Videos

Last Updated: Jun 15, 2026

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy

Published on: June 10, 2019

Laser-heating and Radiance Spectrometry for the Study of Nuclear Materials in Conditions Simulating a Nuclear Power Plant Accident

Laser-heating and Radiance Spectrometry for the Study of Nuclear Materials in Conditions Simulating a Nuclear Power Plant Accident

Published on: December 14, 2017

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

Area of Science:

Thermophysical properties measurement
Experimental physics
Computational methods

Background:

Laser calorimetry is a standard technique for measuring thermophysical properties.
Raw temperature-time data in laser calorimetry can be affected by experimental noise and artifacts.
Accurate data analysis is crucial for reliable property determination.

Purpose of the Study:

To integrate a computer into laser calorimetry experiments.
To develop a numerical algorithm for processing temperature-time data.
To improve the accuracy of steady-state curve determination in the presence of noise.

Main Methods:

Integration of a Hewlett-Packard 9815A computer into the experimental setup.
Development of a numerical algorithm to process raw temperature-time data.
Application of the algorithm to generate three straight lines representing steady-state conditions.

Main Results:

The developed algorithm successfully reduces raw temperature-time data.
The method accurately identifies steady-state temperature-time curves.
The algorithm effectively compensates for temperature variations caused by scattered laser light and experimental noise.

Conclusions:

Computer integration and a novel numerical algorithm enhance laser calorimetry data analysis.
The developed method provides a robust approach to determining thermophysical properties.
This technique offers improved accuracy and reliability in laser calorimetry measurements.