DOE 试验设计表DOE Experiment Design Worksheet

从「拍脑袋试参数」升级到「用试验说话」的入门工具：两因子试验设计与因子水平表，含主效应与交互作用的计算与判读提示，适合工艺工程师找出关键参数组合。An entry-level tool that turns guessing parameters by trial and error into letting the experiment speak: a two-factor experimental design plus a factor level table, with calculation and interpretation guidance for main effects and interactions. For process engineers hunting for the right parameter combination.

模板包含什么What is inside

说明Instructions
2 因子试验2-Factor Experiment
因子水平表Factor Level Table

解决什么问题What it solves

2 因子试验设计表，填数据即出主效应Two-factor design sheet - enter the data and get main effects
交互作用判读提示，避免误读结果Interaction interpretation hints to avoid misreading results
因子水平表帮助梳理可控变量范围Factor level table helps map the range of controllable variables
适合工艺工程师与改善小组For process engineers and improvement teams

配套文章：把这个模板用对Related reading

单因子试验为什么总踩坑？DOE 三个概念一次讲透Why Do One-Factor-at-a-Time Experiments Keep Misleading You? The Three Concepts of DOE Explained

一次只调一个参数的试验方法，漏掉的恰恰是最关键的交互作用。讲透 DOE 的三个核心概念——因子、主效应、交互作用，以及"先筛选再深挖"的两轮实操路线，帮你真正锁定工艺窗口。Changing one parameter at a time misses exactly what matters most: interactions. This article explains the three core concepts of DOE — factors, main effects and interactions — plus the two-round "screen first, then dig deep" approach that actually locks in the process window.

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