Tablet Statistical Analysis Lab - Student and Instructor's Version

16 Apr 2014 | Contributor(s): Carl Wassgren, Avik Sarkar

This is one of a set of experiments designed for lower level undergraduate courses. The focus of the experimental set is to introduce pharmaceutical concepts to undergraduates while also incorporating general engineering educational objectives. This contains both a student version and instructor...

PSL DEM Lecture 11: Coarse Contact Detection

31 Oct 2024 | Teaching Materials

The Particulate Systems Laboratory at Purdue University presents the Discrete Element Modeling (DEM) Short Course Series. This is Lecture 11: Coarse Contact Detection.

PSL DEM Lecture 09: Tangential Contact Force Models

15 May 2008 | Teaching Materials

The Particulate Systems Laboratory at Purdue University presents the Discrete Element Modeling (DEM) Short Course Series. This is Lecture 9: Tangential Contact Force Models.

Introduction to Model Building

31 Oct 2024 | Online Presentations | Contributor(s): Carl Wassgren, Avik Sarkar

Course Background:Initial ideas developed for Pharmaceutical Scientists at the Dow Chemical Plant in Brindisi, Italy (1975)Subsequently evolved into a global course on Process Optimization presented to Dow Scientists and engineers in Europe and North America.Morphed into two courses in the...

Problems for Statistical Model Building

05 May 2008 | Teaching Materials | Contributor(s): Carl Wassgren, Avik Sarkar

Scenarios, problem statements, JMP data files, and solutions for the course on Statistical Model Building and Design of Experiments. Scenario 1 is based on a batch reactor system for small molecule API production. Scenario 2 is based on a test-bed to study the feasibility of continuous operation...

Response Surface Methodology

05 May 2008 | Teaching Materials | Contributor(s): Carl Wassgren, Avik Sarkar

This lecture describes response surface models:Models are simple polynomialsInclude terms for interaction and curvatureCoefficients are usually established by regression analysis with a computer programInsignificant terms are discarded

Screening

05 May 2008 | Teaching Materials | Contributor(s): Carl Wassgren, Avik Sarkar

The objectives of this lecture are to:Show how to screen or select the most important main effects with fewer experiments.Show how to construct fractional factorial experiments by sacrificing interactionsUnderstand the concept of confounding / aliasesLearn how to write the mathematical model for...

Factorial Experimentation

05 May 2008 | Teaching Materials | Contributor(s): Carl Wassgren, Avik Sarkar

A full factorial experiment is a set of experimental runs such that all levels of a given factor are combined with all levels of every other factor.

Single Factor Experiments

05 May 2008 | Teaching Materials | Contributor(s): Carl Wassgren, Avik Sarkar

The purpose of single factor experiments is to:Quantify relationship between a single factor and a single measured or response variableCompare the relative effectiveness of two or more treatments (levels of the factor).Estimate the level of the factor that optimizes the response variable

Review of Statistics

05 May 2008 | Teaching Materials | Contributor(s): Carl Wassgren, Avik Sarkar

This lecture covers the following topicsDifference between statistics and probabilityStatistical InferenceSamples and populationsIntro to JMP software packageCentral limit theoremConfidence intervalsHypothesis testingRegression and modeling fundamentalsIntroduction to Model BuildingSimple linear...

Probability Theory Review

05 May 2008 | Teaching Materials | Contributor(s): Carl Wassgren, Avik Sarkar

For any real system or phenomenon, there will be a certain amount of variability associated with data generated by the system.Probability is the language used to characterize and interpret the variability of this data.Probability is the most widely used formalism for quantifying uncertainty.

Statistical Model Building and Design of Experiments

05 May 2008 | Courses | Contributor(s): Carl Wassgren, Avik Sarkar

Topics covered in this module includeQuantification of Uncertainty in Experimental data and impact on model analysis using Probability TheoryReview of Statistics for building Statistical Models (Multilinear Regression analysis)Design of Experiments for Building Statistical models Single factor...

Video Lecture 06: Introduction to Soft-Particle DEM and Normal Contact Force Models - Part I

31 Oct 2024 | Animations

Video Lecture 06: Introduction to Soft-Particle DEM and Normal Contact Force Models - Part ICarl R. WassgrenParticulate Systems Laboratory (PSL), Purdue University

PSL DEM Lecture 13: 3D Rotations

31 Oct 2024 | Teaching Materials

The Particulate Systems Laboratory at Purdue University presents the Discrete Element Modeling (DEM) Short Course Series. This is Lecture 13: 3D Rotations.

PSL DEM Lecture 07: Normal Contact Force Models - Part II

31 Oct 2024 | Teaching Materials

The Particulate Systems Laboratory at Purdue University presents the Discrete Element Modeling (DEM) Short Course Series. This is Lecture 07: Normal Contact Force Models - Part II.

PSL DEM Lecture 06: Introduction to Soft-Particle DEM and Normal Contact Force Models - Part I

31 Oct 2024 | Teaching Materials

The Particulate Systems Laboratory at Purdue University presents the Discrete Element Modeling (DEM) Short Course Series. This is Lecture 06: Introduction to Soft-Particle DEM and Normal Contact Force Models - Part I.

PSL DEM Lecture 02: Hard Particle Collision Modeling

31 Oct 2024 | Teaching Materials

The Particulate Systems Laboratory at Purdue University presents the Discrete Element Modeling (DEM) Short Course Series. This is Lecture 02: Hard Particle Collision Modeling

PSL DEM Lecture 03: Hard Particle Contact Detection

31 Oct 2024 | Teaching Materials

The Particulate Systems Laboratory at Purdue University presents the Discrete Element Modeling (DEM) Short Course Series. This is Lecture 03: Hard Particle Contact Detection.

PSL DEM Lecture 01: Motivation

31 Oct 2024 | Teaching Materials

The Particulate Systems Laboratory at Purdue University presents the Discrete Element Modeling (DEM) Short Course Series. This is Lecture 01: Motivation.

Discrete Element Method (DEM) Course Module

31 Oct 2024 | Courses

The DEM course module was created by Carl Wassgren of the Particulate Systems Laboratory (PSL) at Purdue University. The series consists of slides and videos that will familiarize you with the basics of DEM. Discrete Element Method has been applied to analyze and predict flow behaviour in a wide...