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Related Concept Videos

Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

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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...
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Moisture Content and Bulking of Aggregate01:10

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The moisture content of aggregates is a crucial factor in construction, particularly in concrete mixing, as it influences the total water required in the mix. Moisture content represents the water coated on the exterior surface of the aggregate existing in a saturated and surface-dry condition. The total water content of a moist aggregate is the sum of its moisture content and water absorption.
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Rolling Resistance01:21

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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.
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Compacting Factor test01:22

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The compacting factor test is a method used to assess the workability of concrete. It is  especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
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The fineness of cement directly influences the rate of hydration, as the hydration begins at the surface of the cement particles. In addition to hydration, the fineness of cement is vital for various properties of concrete including workability, gypsum requirement, and long-term behavior. The fineness of cement is represented in terms of the specific surface of cement which is typically measured in square meters per kilogram, with several methods available for this determination.
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Novel Hybrid Model to Predict Ribbon Solid Fractions in the Roller Compaction Process.

Kiran Iyer1, Senthil Kumarasamy2, Pankaj Doshi3

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Summary
This summary is machine-generated.

A new calibrated model predicts roller compaction scale-up using minimal data. This approach aids in developing digital tools for efficient drug product manufacturing.

Keywords:
compaction simulatormodelingregressionribbon solid fraction measurementroller compaction

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Area of Science:

  • Pharmaceutical Engineering
  • Process Chemistry
  • Materials Science

Background:

  • Roller compaction is a key unit operation in pharmaceutical manufacturing for producing granules.
  • Scale-up of roller compaction often requires extensive experimental data, which is time-consuming and costly.
  • Predictive modeling can optimize the roller compaction process and reduce experimental burden.

Purpose of the Study:

  • To develop and validate a calibrated model for scaling up roller compaction processes.
  • To utilize minimal experimental data for accurate prediction of ribbon solid fraction.
  • To enable the application of digital tools for efficient drug product process development.

Main Methods:

  • Laboratory-scale roller compaction simulation to evaluate blend compression properties.
  • Development of a calibrated model combining the Reynolds roller compaction model and ribbon solid fraction measurements.
  • Validation of the model against experimental data from different scales and equipment.
  • Extension of the model into a hybrid approach incorporating API and formulation properties for partially characterized blends.

Main Results:

  • The calibrated model accurately predicts ribbon solid fraction across different scales and drug loadings.
  • The hybrid model shows reasonable agreement with experimental measurements for partially characterized blends.
  • Digital Design of Experiments (DOEs) were successfully implemented using the hybrid model to define operating ranges.
  • The developed method significantly reduces the experimental data required for roller compaction scale-up.

Conclusions:

  • A validated, calibrated model enables accurate prediction of roller compaction behavior with minimal data.
  • The hybrid model offers a powerful tool for scale-up and process optimization of pharmaceutical products.
  • Digitalization of roller compaction scale-up facilitates efficient development of fast-moving drug products.