Main Article Content
In this paper we present the optimization of machining parameters in manufacturing (ANSI) 304 stainless steel devices in an industry of medical / dental instrumental devices in the city of Ribeirão Preto, SP - Brazil. A first objective of this study is to analyze the possible factors affecting the machining process in terms of quantity of parts produced and manufacturing time of each unit. There is also interest in discovering the important covariates that affect the total time (durability) of the life of the cutting tool. Multiple linear regression has been used considering a selected sample of size 28 based on a 7x4 factorial design. With the factors identified, the goal was to determine the optimal values that maximize the quantity produced and minimize manufacturing time using standard canonical response surface methodology and also exploratory "steepest ascent" techniques.
How to Cite
ACHCAR, J. A., FARIA, R. F., & PIRATELLI, C. L. (2016). METHODOLOGY FOR RESPONSE SURFACES APPLIED IN METALS MACHINING. Brazilian Journal of Biometrics, 34(3), 435–454. Retrieved from https://biometria.ufla.br/index.php/BBJ/article/view/195
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).