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In this project, students are tasked with finding the coefficients of a polynomial function that approximates the given data points for a headlamp mold, ensuring minimal wiggles. The client initially proposed a model of the form x = b + a(c − y)^n, but was unsuccessful. Each team must submit a report detailing the problem description, proposed solution with profile graphs, justification of the solution with a wiggle measure, analysis method, and maple analysis, as well as team member contributions.
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February 2004- Professor Broughton
Due Date: Tuesday February 2003
A business in Barberton Ohio makes headlamp molds for an auto manufacturer.. The headlamp molds are made with the aid of a computer controlled lathe. Certain traditional data is used to model the head lamp. The head lamp must closely approximate the data to be acceptable to the customer. When the coordinates of the points are plotted they roughly form the outline of the desired mold. Unfortunately the data has enough errors in it that if the lathe template exactly passes through all the data points then there are wiggles in the resulting model. A mold with a lot of wiggles in it will not properly reflect light and will be unacceptable to the customer. Fortunately the computer driving the lathe can be programmed either by a set of data points or a polynomial profile function. (we simply enter the coefficients of the polynomial). We may get a suitable template by choosing an approximating polynomial that nearly passes through all the points. The data provided by the client is contained in the file barberton.mws and consists of a set of pairs of x and y coordinates The client originally thought that mold could be modeled by a function of the form: x = b + a(c − y)n
where n is possibly a fractional exponent, and a, b, and c are parameters to be determined (recall that a perfect reflector has the shape of a parabola, n = 2). The client was not successful
Deliverable: The customer needs the coefficients of a simple polynomial y = f (x) that well approximates the given data but does not have to much wiggle. You will need to convince the client that your result is a good approximation and that there is not too much wiggle, and that it just as valid works just as well as his proposed model. Each of the class teams must submit a report addressed to the client’s engineer containing the following elements:
The following resources will be helpful.