Infrared Electric Emitters for Drying Paper

2010 ◽  
Author(s):  
Amanie N. Abdelmessih ◽  
Michael A. Beakley ◽  
Steven B. Campbell ◽  
Eric W. McKnight ◽  
Michael P. Roberts ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Capital Investment ◽  
High Speed ◽  
Paper Industry ◽  
Paper Mill ◽  
Paper Machine ◽  
Paper Machines ◽  
Section Design ◽  
Retrofit Design ◽  
Primary Form

The paper industry is the second largest consumer of energy in the Northwest. The majority of energy consumption in any paper mill occurs in the paper dryer section. This article presents a unique, complete dryer section design that is more economical than conventional paper dryers. The proposed dryers use infrared radiation as the primary form of heat transfer. The infrared dryer section design is compared to the conventional steam dryer section for a high speed newsprint paper machine. Since conventional steam dryer sections in paper machines are a major capital investment and last for decades, a simple, economical retrofit design of a conventional dryer section is included.

scholarly journals Brief Review and Mathematical Modelling of Air Cushioned Pressurized Paper Machine Headbox

2018 ◽  
Vol 7 (3.4) ◽  
pp. 57 ◽  
Author(s):  
Parvesh Saini ◽  
Rajesh Kumar
Keyword(s):  
Mathematical Modelling ◽  
High Speed ◽  
Paper Industry ◽  
Paper Machine ◽  
Efficient Operation ◽  
Precise Control ◽  
Paper Machines ◽  
Day By Day ◽  
Paper Machine Headbox

Today, the requirement of high grade papers is increasing day by day. To cater the need of high quality papers, new high-speed paper machines are being developed constantly. The whole economy of a pulp and paper industry depends on the quality of paper produced, quality of paper depends on the efficient operation of the major part of paper industry – paper machine. Paper machine is the heart of paper industry and has many subsystems. One of the important subsystem of paper machine is Headbox.   To have the desired quality papers, efficient working of headbox is highly required. To have desired operation from headbox, its precise control is necessary. The precise modelling of headbox, leads to design of efficient controllers for its proper control to get the desired response. This paper presents the mathematical modelling of headbox along with a brief review of various research performed on headbox.  

Application of ultrafiltration in the pulp and paper industry: metals removal and whitewater reuse

2007 ◽  
Vol 55 (6) ◽  
pp. 117-123 ◽  
Author(s):  
C.R. Oliveira ◽  
C.M. Silva ◽  
A.F. Milanez
Keyword(s):  
Water Use ◽  
Paper Industry ◽  
Combined Treatment ◽  
Paper Mill ◽  
Pulp And Paper Industry ◽  
Pulp And Paper ◽  
Paper Machine ◽  
Paper Mills ◽  
Metals Removal ◽  
High Level

In the pulp and paper industry, the water use minimization is a constant target. One way to reduce water use is to recycle the effluent in a closed-cycle concept. In paper mills, the main source of liquid effluent is the so-called whitewater, which is the excess water, originated from pulp stock dewatering and other fibre contaminated water. This research studied the reuse of paper mill whitewater after membrane ultrafiltration (UF) in the paper machine and in the pulp bleach plant of an integrated mill. Contaminant removal and flux behaviour of the UF system were evaluated. The treatment by ultrafiltration was technically feasible and the treated whitewater had good potential to be reused in some processes in the paper machine. The reuse of ultrafiltered whitewater in the bleaching plant was not recommended because of the high level of soluble calcium present in this stream. Therefore, a combined treatment of the whitewater using the principle of precipitation and ultrafiltration was proposed showing good results and enabling the use of the treated whitewater in the bleach plant.

scholarly journals Stability analysis of paper machine headbox using a new PI(D) tuning technique

2018 ◽  
Vol 7 (2.6) ◽  
pp. 39 ◽  
Author(s):  
Parvesh Saini ◽  
Rajesh Kumar
Keyword(s):  
Stability Analysis ◽  
Controller Design ◽  
Paper Industry ◽  
Paper Machine ◽  
Important Place ◽  
Precise Control ◽  
Pid Tuning ◽  
Paper Machines ◽  
And Performance ◽  
Paper Machine Headbox

Paper, today, has made an important place in human’s life. Being an important commodity, paper has different qualities throughout the globe. As the technology is advancing, paper is being used for numerous applications and need of good quality paper is increasing daily. To have papers of desirable quality, paper machines with latest technology are developed. However, the quality of paper principally depends on the prime element of paper machine i.e. Headbox. Headbox is a highly non-linear Multi-input Multi-output (MIMO) component of paper machine and requires a precise control of its major parameters to get good quality papers which eventually responsible for sustained economy of pulp and paper industry. In past few decades, headbox has been a key element for research. Researchers have developed different control algorithms for headbox. This paper presents stability analysis of paper machine headbox using a new technique of Proportional – Integral – Derivative (PID) controller design namely Extended Forced Oscillation method (EFO). Also, the paper presents a comparative analysis of EFO method of PID tuning with the conventional Ziegler - Nichols(ZN) tuning technique based on transient characteristics and performance indices of headbox.

Mathematical model to investigate the effect of design and process parameters on nip width of supercalender

2014 ◽  
Vol 05 (04) ◽  
pp. 1450020 ◽  
Author(s):  
Neel Kanth ◽  
A. K. Ray ◽  
Riti
Keyword(s):  
Mathematical Model ◽  
Process Parameters ◽  
Paper Industry ◽  
Paper Mill ◽  
Pulp And Paper ◽  
Paper Machine ◽  
Pulp And Paper Mill ◽  
Mechanics Model ◽  
Fourth Term ◽  
Nip Mechanics

Calendaring is an important operation in pulp and paper mill, with an objective to increase the smoothness or reduce the roughness of paper. Bypassing calendering operation in paper machine, paper of desired quality cannot be produced. In the present investigation, a nip mechanics model for supercalendering has been developed by expanding Meijers nip mechanics model up to fourth term, and using this model the effect of additional fourth term and various design and process parameters on results of supercalendering has been discussed using the data taken from paper industry.

Treatment of Effluents from Hemp-Based Pulp and Paper Industry I. Waste Characterization and Physico-Chemical Treatability

1994 ◽  
Vol 29 (9) ◽  
pp. 161-163 ◽  
Author(s):  
Filiz B. Dilek ◽  
Celai F. Gökçay
Keyword(s):  
Removal Efficiency ◽  
Paper Industry ◽  
Paper Mill ◽  
Pulp And Paper ◽  
Paper Machine ◽  
Pulp And Paper Mill ◽  
Alkali Extraction ◽  
Jar Test ◽  
Physico Chemical ◽  
Treatment Alternatives

This study was conducted to determine the wastewater characteristics as well as the treatment alternatives for the Tafköprü Pulp and Paper Mill in Turkey. The physico-chemical treatability study was conducted by standard Jar-test equipment. The highest COD removal efficiency obtained was 96% for the paper machine, 50% for the alkali extraction and 20% for the bleaching effluents by using alum as coagulant. The colour removal efficiency was around 80% for the alkali extraction effluents.

Application Of Cusum Chart In Control Of Paper Quality

GIS Business ◽  
2020 ◽  
Vol 14 (6) ◽  
pp. 1062-1069
Author(s):  
S.Ramesh ◽  
B.A.Vasu
Keyword(s):  
Process Parameters ◽  
Manufacturing Process ◽  
Paper Industry ◽  
Primary Data ◽  
Cusum Chart ◽  
Paper Machine ◽  
Statistical Control ◽  
Operating Characteristics ◽  
Small Shift

This paper is an attempt to assess if the manufacturing process of paper machine is in statistical control thereby improving the quality of paper being produced in a paper industry at the time of process itself. Quality is the foremost criteria for achieving the business target. Therefore, emphasis was made on controlling the quality of paper at the time of manufacturing process itself, rather than checking the finished lots at a later time.  This control on quality will help the industry deduct the small shift in the process parameters and modify the operating characteristics at the time of production itself rather than receiving complaints from customers at a later stage.  This paper describes controlling quality at the time of manufacture itself and helps the industry to concentrate on quality at low cost. The researcher has collected primary data at a leading paper industry during October, 2019.  Though X-bar and Range charges were primarily used, CUSUM charts were used to sense the minor shifts in manufacturing process, to explore the possibility of adjusting process parameters during manufacture of paper.

Treatment of Different Wastewaters from Pulp and Paper Industry in Methane Reactors

1985 ◽  
Vol 17 (1) ◽  
pp. 223-230 ◽  
Author(s):  
P K Latola
Keyword(s):  
Power Plant ◽  
Paper Industry ◽  
Granular Sludge ◽  
Paper Mill ◽  
Pulp And Paper Industry ◽  
Pulp And Paper ◽  
Plastic Foam ◽  
Loading Rates ◽  
Multi Stage ◽  
Removal Efficiencies

A wastewater from an integrated paper mill with a COD of 1200 mg/dm3 was anaerobically treated in a multi-stage reactor. The BOD7 removal efficiencies of 60-75 % were achieved at maximal loading rates of 5-6 kg COD/m3d and HRT of 4-6 hours due to the granular sludge. Industrial sulphite evaporator condensates from Ca- and Na-processes were treated in anaerobic filters containing light gravel, plastic foam and power plant slag as filter media. The BOD7 removals of 78 % on average were achieved at loading rates of 1.8-3.3 kg COD/m3d with Ca-process evaporator condensates and 80 % BOD7 removals were achieved with Na-process condensates at loading rates of 3.5-4.1 kg COD/m3d.

scholarly journals Machine Learning-Based Energy System Model for Tissue Paper Machines

Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 655
Author(s):  
Huanhuan Zhang ◽  
Jigeng Li ◽  
Mengna Hong
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Gradient Boosting ◽  
Paper Machine ◽  
Steam Consumption ◽  
Tissue Paper ◽  
Paper Machines ◽  
Energy Consumption Model ◽  
Extreme Gradient Boosting ◽  
Consumption Model

With the global energy crisis and environmental pollution intensifying, tissue papermaking enterprises urgently need to save energy. The energy consumption model is essential for the energy saving of tissue paper machines. The energy consumption of tissue paper machine is very complicated, and the workload and difficulty of using the mechanism model to establish the energy consumption model of tissue paper machine are very large. Therefore, this article aims to build an empirical energy consumption model for tissue paper machines. The energy consumption of this model includes electricity consumption and steam consumption. Since the process parameters have a great influence on the energy consumption of the tissue paper machines, this study uses three methods: linear regression, artificial neural network and extreme gradient boosting tree to establish the relationship between process parameters and power consumption, and process parameters and steam consumption. Then, the best power consumption model and the best steam consumption model are selected from the models established by linear regression, artificial neural network and the extreme gradient boosting tree. Further, they are combined into the energy consumption model of the tissue paper machine. Finally, the models established by the three methods are evaluated. The experimental results show that using the empirical model for tissue paper machine energy consumption modeling is feasible. The result also indicates that the power consumption model and steam consumption model established by the extreme gradient boosting tree are better than the models established by linear regression and artificial neural network. The experimental results show that the power consumption model and steam consumption model established by the extreme gradient boosting tree are better than the models established by linear regression and artificial neural network. The mean absolute percentage error of the electricity consumption model and the steam consumption model built by the extreme gradient boosting tree is approximately 2.72 and 1.87, respectively. The root mean square errors of these two models are about 4.74 and 0.03, respectively. The result also indicates that using the empirical model for tissue paper machine energy consumption modeling is feasible, and the extreme gradient boosting tree is an efficient method for modeling energy consumption of tissue paper machines.

Sign in / Sign up

Export Citation Format

Share Document