Jove
Visualize
Contact Us

Related Concept Videos

Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
Rolling Resistance01:21

Rolling Resistance

When a solid cylinder rolls steadily on a rigid surface, the normal force applied by the surface on the cylinder is perpendicular to the tangent at the contact point. However, since no materials are entirely rigid, the surface's reaction to the cylinder involves a range of normal pressures.
For instance, imagine a hard cylinder rolling on a comparatively soft surface. The cylinder's weight compresses the surface beneath it. As the cylinder moves, the material in front of it slows down due to...
Equation of Motion: General Plane motion - Problem Solving01:16

Equation of Motion: General Plane motion - Problem Solving

Consider a lawn roller with a mass of 100 kg, a radius of 0.2 meters, and a radius of gyration of 0.15 meters. A force of 200 N is applied to this roller, angled at 60 degrees from the horizontal plane. What will be the angular acceleration of the lawn roller?
The friction between the roller and the ground is characterized by two coefficients. The static friction coefficient is 0.15, while the kinetic friction coefficient is 0.1. These values are crucial in understanding the interaction between...
Scale-Up Processes01:14

Scale-Up Processes

The scale-up of microbial fermentation processes is essential in industrial biotechnology, allowing the transition from laboratory-scale experiments to commercial-scale production while aiming to maintain product yield and quality. This process requires meticulous adjustment of equipment design, process parameters, and contamination control strategies to accommodate increasing culture volumes.At the laboratory scale, cultures are typically maintained in 1 to 10-liter glass or autoclavable...
Instrument Calibration01:12

Instrument Calibration

Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
Factors Affecting Workability01:24

Factors Affecting Workability

The workability of concrete is a critical characteristic that influences the ease of mixing, handling, and finishing the concrete. It is affected by several factors including water content, aggregate properties, and admixtures like air entrainment. Water plays a fundamental role as it lubricates the concrete mix, facilitating easier movement and placement. However, the water requirement varies depending on the texture and shape of aggregates. Finer particles and angular, rough-textured...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Effect of hydroxy propyl cellulose grade and foam quality on foam granulation of a high drug load formulation.

International journal of pharmaceutics·2024
Same author

Use of similarity scoring in the development of oral solid dosage forms.

International journal of pharmaceutics·2015
Same author

Quality by design development of brivanib alaninate tablets: degradant and moisture control strategy.

International journal of pharmaceutics·2014
Same author

Review of bilayer tablet technology.

International journal of pharmaceutics·2013
Same author

Mechanistic insights into the scale-up of the roller compaction process: a practical and dimensionless approach.

Journal of pharmaceutical sciences·2013
Same author

Evaluation of the performance characteristics of bilayer tablets: Part I. Impact of material properties and process parameters on the strength of bilayer tablets.

AAPS PharmSciTech·2012
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 21, 2026

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System
10:27

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

Published on: June 12, 2019

Roller compaction process development and scale up using Johanson model calibrated with instrumented roll data.

Vishwas V Nesarikar1, Chandrakant Patel, William Early

  • 1Drug Product Science and Technology, Bristol-Myers Squibb, 1 Squibb Drive, New Brunswick, NJ 08901, USA. vishwas.nesarikar@bms.com

International Journal of Pharmaceutics
|June 23, 2012
PubMed
Summary

A novel approach using modified Johanson model roll force equations accurately predicts ribbon densities during roller compaction scale-up. This method ensures consistent product quality by maintaining comparable normal stress across different equipment sizes.

More Related Videos

Experimental Procedure for Warm Spinning of Cast Aluminum Components
07:36

Experimental Procedure for Warm Spinning of Cast Aluminum Components

Published on: February 1, 2017

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

Related Experiment Videos

Last Updated: May 21, 2026

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System
10:27

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

Published on: June 12, 2019

Experimental Procedure for Warm Spinning of Cast Aluminum Components
07:36

Experimental Procedure for Warm Spinning of Cast Aluminum Components

Published on: February 1, 2017

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

Area of Science:

  • Pharmaceutical Engineering
  • Chemical Engineering
  • Materials Science

Background:

  • Roller compaction is a crucial dry granulation technique for powder consolidation.
  • Maintaining consistent ribbon density during scale-up is vital for reproducible tensile strength and particle size distribution.
  • Existing models like Johanson's have limitations in practical application due to nip pressure estimation and fixed friction assumptions.

Purpose of the Study:

  • To develop and validate a novel approach for estimating normal stress in roller compaction.
  • To overcome limitations of the Johanson model by eliminating the need for nip pressure estimation.
  • To enable accurate scale-up of the roller compaction process by predicting ribbon densities.

Main Methods:

  • Utilized an instrumented roll on a WP120 roller compactor to collect normal stress, gap, and nip angle data.
  • Developed a modified Johanson model incorporating roll force equations and directly estimated nip angles from experimental data.
  • Calibrated a placebo model using experimental data and applied it to predict ribbon densities for both placebo and active blends, and for scale-up to a WP200 compactor.

Main Results:

  • The modified Johanson model accurately predicted normal stress and ribbon densities for placebo and active blends on the WP120.
  • Validated roll force calculations against vendor-provided equations.
  • Successfully scaled up the roller compaction process from WP120 to WP200, with model predictions showing good agreement with experimental data.

Conclusions:

  • The developed novel approach effectively predicts ribbon densities and facilitates accurate scale-up of roller compaction processes.
  • The method overcomes previous model limitations, offering a more practical tool for process engineers.
  • This validated model ensures consistent product attributes during manufacturing scale transfer.