Accendo Reliability

Your Reliability Engineering Professional Development Site

  • Home
  • About
    • Contributors
    • About Us
    • Colophon
    • Survey
  • Reliability.fm
  • Articles
    • CRE Preparation Notes
    • NoMTBF
    • on Leadership & Career
      • Advanced Engineering Culture
      • ASQR&R
      • Engineering Leadership
      • Managing in the 2000s
      • Product Development and Process Improvement
    • on Maintenance Reliability
      • Aasan Asset Management
      • AI & Predictive Maintenance
      • Asset Management in the Mining Industry
      • CMMS and Maintenance Management
      • CMMS and Reliability
      • Conscious Asset
      • EAM & CMMS
      • Everyday RCM
      • History of Maintenance Management
      • Life Cycle Asset Management
      • Maintenance and Reliability
      • Maintenance Management
      • Plant Maintenance
      • Process Plant Reliability Engineering
      • RCM Blitz®
      • ReliabilityXperience
      • Rob’s Reliability Project
      • The Intelligent Transformer Blog
      • The People Side of Maintenance
      • The Reliability Mindset
    • on Product Reliability
      • Accelerated Reliability
      • Achieving the Benefits of Reliability
      • Apex Ridge
      • Field Reliability Data Analysis
      • Metals Engineering and Product Reliability
      • Musings on Reliability and Maintenance Topics
      • Product Validation
      • Reliability by Design
      • Reliability Competence
      • Reliability Engineering Insights
      • Reliability in Emerging Technology
      • Reliability Knowledge
    • on Risk & Safety
      • CERM® Risk Insights
      • Equipment Risk and Reliability in Downhole Applications
      • Operational Risk Process Safety
    • on Systems Thinking
      • Communicating with FINESSE
      • The RCA
    • on Tools & Techniques
      • Big Data & Analytics
      • Experimental Design for NPD
      • Innovative Thinking in Reliability and Durability
      • Inside and Beyond HALT
      • Inside FMEA
      • Institute of Quality & Reliability
      • Integral Concepts
      • Learning from Failures
      • Progress in Field Reliability?
      • R for Engineering
      • Reliability Engineering Using Python
      • Reliability Reflections
      • Statistical Methods for Failure-Time Data
      • Testing 1 2 3
      • The Manufacturing Academy
  • eBooks
  • Resources
    • Accendo Authors
    • FMEA Resources
    • Glossary
    • Feed Forward Publications
    • Openings
    • Books
    • Webinar Sources
    • Podcasts
  • Courses
    • Your Courses
    • Live Courses
      • Introduction to Reliability Engineering & Accelerated Testings Course Landing Page
      • Advanced Accelerated Testing Course Landing Page
    • Integral Concepts Courses
      • Reliability Analysis Methods Course Landing Page
      • Applied Reliability Analysis Course Landing Page
      • Statistics, Hypothesis Testing, & Regression Modeling Course Landing Page
      • Measurement System Assessment Course Landing Page
      • SPC & Process Capability Course Landing Page
      • Design of Experiments Course Landing Page
    • The Manufacturing Academy Courses
      • An Introduction to Reliability Engineering
      • Reliability Engineering Statistics
      • An Introduction to Quality Engineering
      • Quality Engineering Statistics
      • FMEA in Practice
      • Process Capability Analysis course
      • Root Cause Analysis and the 8D Corrective Action Process course
      • Return on Investment online course
    • Industrial Metallurgist Courses
    • FMEA courses Powered by The Luminous Group
    • Foundations of RCM online course
    • Reliability Engineering for Heavy Industry
    • How to be an Online Student
    • Quondam Courses
  • Calendar
    • Call for Papers Listing
    • Upcoming Webinars
    • Webinar Calendar
  • Login
    • Member Home
  • Barringer Process Reliability Introduction Course Landing Page
  • Upcoming Live Events
You are here: Home / Articles / Using Thermal Analysis to Identify Reactive Chemicals

by Sanjeev Saraf Leave a Comment

Using Thermal Analysis to Identify Reactive Chemicals

Using Thermal Analysis to Identify Reactive Chemicals

Reactivity hazards involve conversion of stored chemical energy of the components into mechanical or heat energy, andit is the uncontrolled release of this stored energy that causes the damage in a reactive chemical incident. The reactivity of a substance is normally assessed by performing calorimetric measurements.

Information about the amount of energy released and the rate of energy released for a process chemical can be obtained by performing calorimetric tests. A small amount of the sample is heated over a range of temperature (usually within 30 °C – 400 °C), and temperature, pressure, and time data are recorded. This information is then used for alarm settings, relief  sizing, and process modeling.  Overall thermodynamics and kinetics of a reaction can be estimated from temperature-time data obtained from a calorimeter, and this information is used to identify the material hazards posed by a composition and risk of potential runaway reactions.

Typically, Differential Scanning Calorimeter (DSC) tests are run to screen chemical because DSC tests are relatively inexpensive and can be performed quickly. Detailed testing can be performed using other calorimeters such as the Automated Pressure Tracking Adiabatic Calorimeter (APTAC) from TIAX or the Vent Sizing Package (VSP) from Fauske and Associates.

Following are a few important parameters obtained from calorimetric analysis:
1. Heat of reaction (?Hrxn): Energy released during the reaction
2. Onset Temperature (To): Temperature at which reaction is initiated. Based on sensitivity of the calorimeter to detect “significant” reaction
3. dT/dt: Rate of temperature increase
4. dP/dt: Rate of pressure increase

How can you use the above information to tell if the composition tested is explosive? I’m going to give you a simple formula; however, if you want to learn advanced techniques please contact me.

To identify explosive compositions we will define a new term – Explosion Potential (EP). Yoshida (1987) proposed the following correlation for DSC results:

EP = log (DH) – 0.38 log (To-25) – 1.67

where DH is heat of reaction and To is the onset temperature.

Compositions with EP > 0 are considered to be potentially explosive.

The above equation by no means is applicable 100% of the times and if you want to learn advanced techniques to analyze reactivity hazards please contact me.

Filed Under: Articles, on Risk & Safety, Operational Risk Process Safety

About Sanjeev Saraf

Reduce risks, Increase Uptime, Reduce costs

I did my first litigation support work in 2000.

Since then I have been obsessed with preventing future failures. Some of these failures can have catastrophic consequences.

Having tried various techniques, learning / unlearning “latest” paradigms, it is clear we have a long way to go!

But instead of thoughtful work, what I mostly see are platitudes and oversimplifications. No keen practical insights!

I want to change that.

« The Hills Are Alive With The Sound of Maintenance: The Whitehead Torpedo
Understanding the Binomial Distribution »

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Photo of Sanjeev SarafArticles by Sanjeev Saraf
in the Operational Risk, Process Safety article series

Join Accendo

Receive information and updates about articles and many other resources offered by Accendo Reliability by becoming a member.

It’s free and only takes a minute.

Join Today

Recent Posts

  • Gremlins today
  • The Power of Vision in Leadership and Organizational Success
  • 3 Types of MTBF Stories
  • ALT: An in Depth Description
  • Project Email Economics

© 2025 FMS Reliability · Privacy Policy · Terms of Service · Cookies Policy