Fix typos (#61)

Found via `codespell -q 3 -L abd,cutted,dorder`
Serince · Sep 19, 2024 · 5b35a55 · 5b35a55
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diff --git a/README.md b/README.md
@@ -2,7 +2,7 @@
 A FreeCAD module that uses Generative Design to calculate and show structural analysis results
 
 ### Background 
-This project was devoloped based on [Rahul](https://github.com/MightyBucket/) Master's thesis and [Ogeday Yavuz](https://github.com/OgedaYY/) Graduation Thesis.  
+This project was developed based on [Rahul](https://github.com/MightyBucket/) Master's thesis and [Ogeday Yavuz](https://github.com/OgedaYY/) Graduation Thesis.  
 [František Löffelmann](https://github.com/fandaL)'s [calculix/beso](https://github.com/calculix/beso) topology optimization script was added as a feature recently.  
 The following process image is taken from [Master Thesis Poster of Rahul Jhuree](https://mightybucket.github.io/misc/FYP_poster.pdf):
 

diff --git a/fembygen/Results.py b/fembygen/Results.py
@@ -244,7 +244,7 @@ def calculateFEAMetric(self):
                         FreeCAD.Console.PrintMessage(f"Generation {i+1} Analysis {j+1} result values imported\n")
                     except:
                         FreeCAD.Console.PrintError(
-                            f"During getting result values of Generation {i+1} Analysis {j+1} problem occured. Please check the generation results by opening Gen{i+1} folder in master file directory.\n")
+                            f"During getting result values of Generation {i+1} Analysis {j+1} problem occurred. Please check the generation results by opening Gen{i+1} folder in master file directory.\n")
                         result.append([None]*6)
                 else:
                     FreeCAD.Console.PrintError(f"Generation {i+1} Loadcase {j+1} couldn't imported\n")
@@ -630,7 +630,7 @@ def plotParetoGraph(self, index):
 
 
     def normalize(self, vals):
-        """Resuls range can be different. So, the function make results between 0~1 to calculate ranking score.
+        """Results range can be different. So, the function make results between 0~1 to calculate ranking score.
         """
         minVal = np.min(vals)
         maxVal = np.max(vals)

diff --git a/fembygen/design/pydoe2/doe_factorial.py b/fembygen/design/pydoe2/doe_factorial.py
@@ -373,7 +373,7 @@ def fracfact_opt(n_factors, n_erased, max_attempts=0) :
         The design is searched by exhaustive search, with the most "promising"
         combinations attempted first. For large designs it might be unfeasible
         to attempt all combinations.
-        Posite values give the number of models to attemps. Zero or negative
+        Posite values give the number of models to attempts. Zero or negative
         values indicate all combinations should be attempted.
 
     Returns