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Latest Release: v6.3 Update 5 (November 25, 2020)
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Warning / Disclaimer
The data and information within DWSIM have been obtained from a wide variety of literature sources. While reasonable care has been exercised in the collection of data and testing of this software, the author and contributors of the DWSIM Project disclaims any warranty, expressed or implied, as to the accuracy or reliability of the data or calculations contained therein.
The results of calculations obtained from DWSIM yield approximate results, which will not always be suitable for every application. The software is designed for use by trained professional personnel and is not a substitute for sound professional judgment. It is the sole responsibility of the user to validate the data presented by DWSIM and to determine whether the results of this program are accurate and suitable for any specific purpose. No guarantee of accuracy or fitness for any purpose is expressed or implied.
The author and contributors strongly recommend that the data be checked against other sources and/or methods before use and application. DWSIM’s author and its contributors shall not be held liable for any direct, indirect, consequential, or incidental damages incurred through the use of the data or calculations.
Download Additional Components
Capital Cost Estimator
Capital Cost Estimator is a software which estimates Capital and Operating Costs for a Chemical Processing Plant based on data from the currently active flowsheet.
OPC Unified Architecture (UA) Client Plugin
The OPC UA Client Plugin for DWSIM enables mapping of monitored variables in an OPC Unified Architecture (UA) Server to Properties of DWSIM Flowsheet Objects (Unit Operations, Energy and Material Streams).
Reaktoro (Aqueous Electrolytes) Property Package
This is an Aqueous Electrolytes Property Package for DWSIM based on Reaktoro ( https://reaktoro.org).
Reaktoro is a computational framework developed in C++ and Python that implements numerical methods for modeling chemically reactive processes governed by either chemical equilibrium, chemical kinetics, or a combination of both.
Pipe Network Unit Operation
Pipe networks are structures built to transport fluids between several supply and demand points. Transmission and distribution of natural gas are examples of services provided by pipeline networks.
In fluid dynamics, pipe network analysis is the analysis of the fluid flow through a hydraulics network, containing several or many interconnected branches. The aim is to determine the flow rates and pressure drops in the individual sections of the network. This is a common problem in hydraulic design.
Neural Network Unit Operation
The Neural Network Unit Operation can use field/lab data to train and evaluate a Multi-Output Regression Artificial Neural Network to be used as a Unit Operation in your process model.