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fixed flushleft for taguchi method

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Niko Vujic
2025-08-17 17:55:31 +02:00
parent 4c9b2dbde6
commit e3a2cd61ba
5 changed files with 24 additions and 22 deletions
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radno/ispitivanje_cvrstoce_fdm_3d_printanog_uzorka.aux
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radno/ispitivanje_cvrstoce_fdm_3d_printanog_uzorka.fdb_latexmk
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@@ -1,12 +1,12 @@
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radno/ispitivanje_cvrstoce_fdm_3d_printanog_uzorka.log
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This is pdfTeX, Version 3.141592653-2.6-1.40.27 (TeX Live 2025/TeX Live for SUSE Linux) (preloaded format=pdflatex 2025.3.28) 17 AUG 2025 16:11 This is pdfTeX, Version 3.141592653-2.6-1.40.27 (TeX Live 2025/TeX Live for SUSE Linux) (preloaded format=pdflatex 2025.3.28) 17 AUG 2025 17:53
entering extended mode entering extended mode
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radno/ispitivanje_cvrstoce_fdm_3d_printanog_uzorka.pdf
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radno/ispitivanje_cvrstoce_fdm_3d_printanog_uzorka.tex
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@@ -473,6 +473,7 @@ Zbog navedenog, odabir parametara ispisa mora se prilagoditi vrsti opterećenja
\subsection{Taguchijeva metoda} \label{subsec:taguchi_metoda} \subsection{Taguchijeva metoda} \label{subsec:taguchi_metoda}
\begin{flushleft}
Taguchijeva metoda je eksperimentalna strategija za analizu utjecaja više ulaznih parametara na neki izlazni odziv sustava, s ciljem optimizacije performansi uz minimalan broj eksperimenata. Razvio ju je dr. Genichi Taguchi s naglaskom na robusnost i otpornost procesa na smetnje (engl. \textit{noise}). Taguchijeva metoda je eksperimentalna strategija za analizu utjecaja više ulaznih parametara na neki izlazni odziv sustava, s ciljem optimizacije performansi uz minimalan broj eksperimenata. Razvio ju je dr. Genichi Taguchi s naglaskom na robusnost i otpornost procesa na smetnje (engl. \textit{noise}).
\bigskip \bigskip
@@ -493,7 +494,6 @@ Taguchijeva metoda je eksperimentalna strategija za analizu utjecaja više ulazn
gdje je $y_i$ izmjerena vrijednost odziva u $i$-tom ponavljanju, a $n$ broj ponavljanja eksperimenta za danu kombinaciju parametara.\\ gdje je $y_i$ izmjerena vrijednost odziva u $i$-tom ponavljanju, a $n$ broj ponavljanja eksperimenta za danu kombinaciju parametara.\\
\end{itemize} \end{itemize}
\begin{flushleft}
\textbf{Zašto se koristi u optimizaciji procesa:} \textbf{Zašto se koristi u optimizaciji procesa:}
U klasičnom pristupu, ako postoji $k$ faktora, svaki s $l$ razina, potrebno je provesti $l^k$ eksperimenata za potpunu faktorsku analizu. To brzo postaje nepraktično. U klasičnom pristupu, ako postoji $k$ faktora, svaki s $l$ razina, potrebno je provesti $l^k$ eksperimenata za potpunu faktorsku analizu. To brzo postaje nepraktično.
@@ -514,6 +514,11 @@ U ovom radu koristit će se Taguchijeva metoda kako bi se utvrdio utjecaj 5 fakt
\end{flushleft} \end{flushleft}
\section{Planiranje eksperimenta}\label{sec:planiranje_eksperimenta}
%--------------------------------------------------------------------- %---------------------------------------------------------------------
%----------------------LITERATURA------------------------------------- %----------------------LITERATURA-------------------------------------
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