TAM 212 Worksheet 3. Solutions

Similar documents
TAM 212 Worksheet 3. The worksheet is concerned with the design of the loop-the-loop for a roller coaster system.

A METHOD OF REAL-TIME NURBS INTERPOLATION WITH CONFINED CHORD ERROR FOR CNC SYSTEMS

Laboratory Exercise 6

Universität Augsburg. Institut für Informatik. Approximating Optimal Visual Sensor Placement. E. Hörster, R. Lienhart.

Drawing Lines in 2 Dimensions

MAT 155: Describing, Exploring, and Comparing Data Page 1 of NotesCh2-3.doc

Planning of scooping position and approach path for loading operation by wheel loader

Performance of a Robust Filter-based Approach for Contour Detection in Wireless Sensor Networks

ES205 Analysis and Design of Engineering Systems: Lab 1: An Introductory Tutorial: Getting Started with SIMULINK

A Practical Model for Minimizing Waiting Time in a Transit Network

Motivation: Level Sets. Input Data Noisy. Easy Case Use Marching Cubes. Intensity Varies. Non-uniform Exposure. Roger Crawfis

Motion Control (wheeled robots)

A Study of a Variable Compression Ratio and Displacement Mechanism Using Design of Experiments Methodology

Refining SIRAP with a Dedicated Resource Ceiling for Self-Blocking

An Active Stereo Vision System Based on Neural Pathways of Human Binocular Motor System

A Novel Feature Line Segment Approach for Pattern Classification

Mirror shape recovery from image curves and intrinsic parameters: Rotationally symmetric and conic mirrors. Abstract. 2. Mirror shape recovery

(12) Patent Application Publication (10) Pub. No.: US 2011/ A1

Multi-Target Tracking In Clutter

KINEMATIC BENDING OF FIXED-HEAD PILES IN NON- HOMOGENEOUS SOIL

Loop Forming Snake-like Robot ACM-R7 and Its Serpenoid Oval Control

Power Aware Location Aided Routing in Mobile Ad-hoc Networks

Focused Video Estimation from Defocused Video Sequences

IMPLEMENTATION OF CHORD LENGTH SAMPLING FOR TRANSPORT THROUGH A BINARY STOCHASTIC MIXTURE

SLA Adaptation for Service Overlay Networks

Localized Minimum Spanning Tree Based Multicast Routing with Energy-Efficient Guaranteed Delivery in Ad Hoc and Sensor Networks

FPGA Implementation of Closed Loop Control of Pan Tilt Mechanism

A Novel Grey-RSS Navigation System Design for Mobile Robots

Lecturer: Ivan Kassamakov, Docent Assistants: Risto Montonen and Anton Nolvi, Doctoral

Locating Brain Tumors from MR Imagery Using Symmetry

Quadrilaterals. Learning Objectives. Pre-Activity

Lecture 14: Minimum Spanning Tree I

Generation of nearly nondiffracting Bessel beams with a Fabry Perot interferometer

On successive packing approach to multidimensional (M-D) interleaving

Hassan Ghaziri AUB, OSB Beirut, Lebanon Key words Competitive self-organizing maps, Meta-heuristics, Vehicle routing problem,

Interface Tracking in Eulerian and MMALE Calculations

EE4308 Advances in Intelligent Systems & Robotics

Routing Definition 4.1

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

PHYS 1420: College Physics II Fall Exam IV: Chapters 20 23

3D SMAP Algorithm. April 11, 2012

Chapter 13 Non Sampling Errors

The Association of System Performance Professionals

A Local Mobility Agent Selection Algorithm for Mobile Networks

Representations and Transformations. Objectives

A User-Attention Based Focus Detection Framework and Its Applications

Shortest Path Routing in Arbitrary Networks

A Handover Scheme for Mobile WiMAX Using Signal Strength and Distance

New DSP to measure acoustic efficiency of road barriers. Part 2: Sound Insulation Index

Topics. Lecture 37: Global Optimization. Issues. A Simple Example: Copy Propagation X := 3 B > 0 Y := 0 X := 4 Y := Z + W A := 2 * 3X

Course Updates. Reminders: 1) Assignment #13 due Monday. 2) Mirrors & Lenses. 3) Review for Final: Wednesday, May 5th

NUMERICAL MODELING ON THE DAMPING CONTROL OF TLD STRUCTURE

step. J.N. Fernando, J. Kriegseis and D.E. Rival

ANALYSIS OF PILE DRIVING IN VERTICAL AND HORIZONTAL DIRECTIONS USING A HYBRID MODEL

How to. write a paper. The basics writing a solid paper Different communities/different standards Common errors

Anisotropic filtering on normal field and curvature tensor field using optimal estimation theory

CERIAS Tech Report EFFICIENT PARALLEL ALGORITHMS FOR PLANAR st-graphs. by Mikhail J. Atallah, Danny Z. Chen, and Ovidiu Daescu

Through the Diversity of Bandwidth-Related Metrics, Estimation Techniques and Tools: An Overview

Practical Analog and Digital Filter Design

An efficient resource allocation algorithm for OFDMA cooperative relay networks with fairness and QoS guaranteed

arxiv: v1 [cs.ds] 27 Feb 2018

Texture-Constrained Active Shape Models

DECENTRALIZED structured overlays and distributed. Distributed, Secure Load Balancing with Skew, Heterogeneity, and Churn

Growing Networks Through Random Walks Without Restarts

Three-dimensional CFD simulation of solid-liquid two-phase flow in the pumping station forebay with sills

Optimization of Wave-Induced Motion of Ramp-Interconnected Craft for Cargo Transfer

Laboratory Exercise 2

Maximum Feedrate Interpolator for Multi-axis CNC Machining with Jerk Constraints

Domain-Specific Modeling for Rapid System-Wide Energy Estimation of Reconfigurable Architectures

Analysis of Surface Wave Propagation Based on the Thin Layered Element Method

CENTER-POINT MODEL OF DEFORMABLE SURFACE

PADded Cache: A New Fault-Tolerance Technique for Cache Memories

Shortest Paths with Single-Point Visibility Constraint

Aalborg Universitet. Published in: Proceedings of the Working Conference on Advanced Visual Interfaces

A Load Balancing Model based on Load-aware for Distributed Controllers. Fengjun Shang, Wenjuan Gong

Shading. Reading. Pinhole camera. Basic 3D graphics. Brian Curless CSE 457 Spring Required: Angel chapter 5.

3D MODELLING WITH LINEAR APPROACHES USING GEOMETRIC PRIMITIVES

A Linear Interpolation-Based Algorithm for Path Planning and Replanning on Girds *

A Hybrid Deployable Dynamic Traffic Assignment Framework for Robust Online Route Guidance

Priority-Based Distribution Trees for Application-Level Multicast

Lens Conventions From Jenkins & White: Fundamentals of Optics, pg 50 Incident rays travel left to right Object distance s + if left to vertex, - if

Diverse: Application-Layer Service Differentiation in Peer-to-Peer Communications

Reflection & Refraction

Spatio-Temporal Monitoring using Contours in Large-scale Wireless Sensor Networks

All in-focus View Synthesis from Under-Sampled Light Fields

Computer Arithmetic Homework Solutions. 1 An adder for graphics. 2 Partitioned adder. 3 HDL implementation of a partitioned adder

Multicast with Network Coding in Application-Layer Overlay Networks

Building a Compact On-line MRF Recognizer for Large Character Set using Structured Dictionary Representation and Vector Quantization Technique

Finite Elements Method in Split Hopkinson Pressure Bar developing process

Variable Resolution Discretization in the Joint Space

An Algebraic Approach to Adaptive Scalable Overlay Network Monitoring

Delaunay Triangulation: Incremental Construction

Stochastic Search and Graph Techniques for MCM Path Planning Christine D. Piatko, Christopher P. Diehl, Paul McNamee, Cheryl Resch and I-Jeng Wang

Key Terms - MinMin, MaxMin, Sufferage, Task Scheduling, Standard Deviation, Load Balancing.

INTERIOR FLOW SIMULATION OF SUCTION CHAMBERS FOR HLFC PROFILES

Network Coding in Duty-Cycled Sensor Networks

Cutting Stock by Iterated Matching. Andreas Fritsch, Oliver Vornberger. University of Osnabruck. D Osnabruck.

(12) United States Patent

IMPLEMENTATION OF AREA, VOLUME AND LINE SOURCES

/06/$ IEEE 364

Transcription:

Name: Group member: TAM 212 Workheet 3 Solution The workheet i concerned with the deign of the loop-the-loop for a roller coater ytem. Old loop deign: The firt generation of loop wa circular, a hown below. R New loop deign: The modern loop ha evolved into the tear-drop track hape pictured below. 1

1. Briefly predict what iue might arie due to a circular loop, and how a tear-drop loop might reolve thoe problem. After a train enter thi circular loop, the paenger who will feel thi a a udden jerk come from the centripetal acceleration. Rarely, thi jerk even caue a neck injury. Circular Track The firt generation of loop were circular, a illutrated on Page 1. Although not trictly accurate, we ll aume for thi ection that the roller coater train maintain a contant peed a it travel along the track. 2. For the circular loop, plot the curvature κ of the track a a function of, the total ditance covered. Label the important point on the vertical axi in term of the loop radiu R. Note that 1 and 2 denote the point where the train enter and leave the loop, repectively. κ 1/R 1 2 3. Plot the tangential a t and normal a n component of the train acceleration a = a t ê t + a n ê n a a function of, the total ditance covered. Label the important point on the vertical axi in term of the train peed v and the loop radiu R. a t a n v 2 /R 1 2 1 2 2

4. The circular loop deign, popular in the earliet inverion roller coater, wa in fact reponible for many broken bone and neck injurie. Why do you think thi may have occurred? The normal component of the acceleration will uddenly jump from zero on the traight-line egment to v 2 /R on the loop. Thi will not be afe for paenger, who will be jerked upward a a reult of the udden change in acceleration. 5. Now plot the a z (upward, ˆk) component of the train acceleration a a function of, the total ditance covered. Label all ignificant point on the vertical axi. a z v 2 /R 1 2 -v 2 /R Tear-Drop Track The modern loop ha evolved into the teardrop-like hape a exhibited by the roller coater on Page 1. Alo, we ll aume for thi ection that the roller coater train maintain a contant peed. 6. To reduce rik of injury, the teardrop hape for the loop hown below i now commonly employed. How do you think thi hape help to give paenger a moother ride? The curvature of the loop appear to vary more continuouly, tarting from zero and increaing continuouly a we approach the top, and then decreaing continuouly back to zero a we exit the curve. The continuou variation in curvature mean there will not be a jump in the acceleration. 3

7. A curve for which the curvature varie linearly with the ditance covered i known a a clothoid or Euler piral. The teardrop hape above cloely reemble two ymmetric clothoid, in which the curvature increae linearly with after the train enter the curve, reache a maximum value of 1/R at the top of the curve, and then linearly decreae back to zero when the train exit the loop. For uch a loop, plot the curvature κ a a function of. Note that A and E denote the point where the train enter and leave the loop (a illutrated on the next page). κ 1/R A E 8. For the teardrop loop, ketch the normal and tangential acceleration (labeling each) at the five point demarked below. C B D A E Normal acceleration hown; there i no tangential acceleration ince the train peed i aumed contant. 9. For the teardrop loop, plot the tangential a t and normal a n component of the train acceleration a = a t ê t + a n ê n a a function of, the total ditance covered. Label the important point on the vertical axi in term of the train peed v and the radiu or curvature at the top of the loop R. a t a n v 2 /R A B C D E A B C D E 4

10. Now plot the a z (upward, ˆk) component of the train acceleration on the teardrop loop a a function of, the total ditance covered. Where i the acceleration in the ˆk direction felt by the paenger larget? How large i thi? a z A B C D E -v 2 /R The acceleration experienced by the paenger i larget at the top of the loop (magnitude v 2 /R, directed downward). 5

Challenge: Energy Analyi 11. A you have likely experienced on roller coater, the peed doe not tay contant a you travere the loop. Intead, the peed decreae a you travel up the curve and and increae a you move back down the track. Ue conervation of energy to calculate the expected peed at the top of a 25 m tall loop when the initial peed i 10 m/, where kinetic energy i KE = 1 2 mv2 and potential energy i P E = mgh. 12. Baed on your energy analyi, i contant peed a reaonable aumption? How would your analyi in the firt two ection change if the velocity become dependent on track poition? 13. What other phyic would you include to make your analyi even more accurate? 6