#TITLE_ALTERNATIVE#

• Main Author: SAIFUDDIN (NIM 23004016), FAUZAN
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/7890
• Institution: Institut Teknologi Bandung

Pulp and Paper industries are growing very fast in the end of the 20th century; one of the causes is more and more the increasing of human being requirement for product from pulp and paper. Especially for pulp industry that not just act as raw material for paper industries, it's also for another industries such as fiber cellulose that act as a raw material for textile and non-woven industries. Digester as a mean equipment of pulp industries, owning important role for quality of pulp that yielded, so that we need to observe for the optimal condition so that process at the digester can yielded best quality of pulp for consumer. The optimal condition can be determined variously, one of them is mathematical modeling for continuous digester pulp using process that assisted by computer.<p> <br /> <br /> <br /> The first step of simulation by computer's assist is arranging mathematical model that can give a prediction of how the process act. This mathematical model entangles mass balance for entire component that involve in the digester, phenomenon react that happened, and also liquid solid dynamics. This modeling using several assumptions, the first assumption is the digester pretended as plug flow reactor with isothermal approach. The next approaches are digester pretended as non isothermal plug flow reactor without diffusion component at the thermal equation, then the diffusion component included on thermal balance equation. Verification to mathematics model which have been compiled, to be done by comparing its result to the data from design and industrial. The variables that watched for are temperature of feed, raw materials properties, and the cooking liquor concentration.<p> <br /> <br /> <br /> The result simulation using non isothermal reactor assumption with diffusion component on thermal balance equation gives differences of Kappa Number that smaller than 10% while it was compared with design data.