Factory Noise Computer Prediction Using a Complete Image-Source Method

Computer modelling for the prediction of sound distribution in factory spaces has been extensively researched during the last ten years.The 0ndet and Barbry program, Raycub [1].has emerged as the most accurate computer model, with many authors [2-4] independently testing their own data to validate the model.The problem found with the Raycub model is the time required to both run the program and to enter the detailed information necessary to represent an enclosed space.To overcome these practical shortcomings of Raycub a new model.the Complete Image-Source Method [CISM], has been written.CISM is an image source model which incorporates those representational feath of Raycub which have been found to have the most effect on prediction accuracy [4].This approach reduces both the run-time of the model and the amount of data necessary to represent a space.