Oak Wood Weight Calculator

Oak Wood Weight Calculator & Density Guide :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #ffffff; –shadow: 0 2px 5px rgba(0,0,0,0.1); –border-radius: 8px; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 20px; display: flex; justify-content: center; } .container { max-width: 960px; width: 100%; background-color: var(–card-background); padding: 30px; border-radius: var(–border-radius); box-shadow: var(–shadow); margin-bottom: 30px; } h1, h2, h3 { color: var(–primary-color); text-align: center; margin-bottom: 20px; } h1 { font-size: 2.2em; } h2 { font-size: 1.8em; } h3 { font-size: 1.4em; } p { margin-bottom: 15px; } a { color: var(–primary-color); text-decoration: none; } a:hover { text-decoration: underline; } .input-group { margin-bottom: 20px; padding: 15px; border: 1px solid var(–border-color); border-radius: var(–border-radius); background-color: #fff; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: var(–primary-color); } .input-group input[type="number"], .input-group input[type="text"], .input-group select { width: calc(100% – 20px); padding: 10px; margin-bottom: 5px; border: 1px solid var(–border-color); border-radius: var(–border-radius); box-sizing: border-box; font-size: 1em; } .input-group .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; display: block; } .error-message { color: #dc3545; font-size: 0.8em; margin-top: 5px; display: none; /* Hidden by default */ } .error-message.visible { display: block; } button { background-color: var(–primary-color); color: white; padding: 12px 25px; border: none; border-radius: var(–border-radius); cursor: pointer; font-size: 1em; margin-right: 10px; transition: background-color 0.3s ease; } button:hover { background-color: #003366; } button.reset { background-color: #6c757d; } button.reset:hover { background-color: #5a6268; } button.copy { background-color: var(–success-color); } button.copy:hover { background-color: #218838; } #results { margin-top: 30px; padding: 20px; border: 1px solid var(–border-color); border-radius: var(–border-radius); background-color: var(–card-background); text-align: center; } #results h2 { color: var(–primary-color); margin-top: 0; } .main-result { font-size: 2.2em; font-weight: bold; color: var(–primary-color); margin: 15px 0; padding: 15px; background-color: #e7f3ff; border-radius: var(–border-radius); border: 1px dashed var(–primary-color); } .intermediate-results div, .assumptions div { margin-bottom: 10px; font-size: 1.1em; } .intermediate-results span, .assumptions span { font-weight: bold; color: var(–primary-color); } .formula-explanation { font-size: 0.9em; color: #555; margin-top: 15px; font-style: italic; } table { width: 100%; border-collapse: collapse; margin-top: 20px; margin-bottom: 30px; } th, td { padding: 12px 15px; border: 1px solid var(–border-color); text-align: left; } th { background-color: #e9ecef; color: var(–primary-color); font-weight: bold; } tbody tr:nth-child(odd) { background-color: #f8f9fa; } caption { font-size: 1.1em; font-weight: bold; margin-bottom: 10px; color: var(–primary-color); text-align: left; } canvas { display: block; margin: 20px auto; border: 1px solid var(–border-color); border-radius: var(–border-radius); background-color: #fff; } #article-content { margin-top: 40px; background-color: var(–card-background); padding: 30px; border-radius: var(–border-radius); box-shadow: var(–shadow); } #article-content h2, #article-content h3 { text-align: left; margin-bottom: 15px; } #article-content p { text-align: justify; } .article-section { margin-bottom: 30px; } .faq-item { margin-bottom: 15px; } .faq-item strong { display: block; color: var(–primary-color); margin-bottom: 5px; } .related-links ul { list-style: none; padding: 0; } .related-links li { margin-bottom: 10px; } .related-links a { font-weight: bold; } .related-links span { font-size: 0.9em; color: #555; display: block; margin-top: 3px; } .highlighted-result-container { background-color: var(–primary-color); color: white; padding: 20px; border-radius: var(–border-radius); margin-top: 20px; box-shadow: inset 0 0 10px rgba(0,0,0,0.2); } .highlighted-result-container .main-result-value { font-size: 2.5em; font-weight: bold; } .highlighted-result-container .result-unit { font-size: 1.2em; opacity: 0.9; } .highlighted-result-container p { margin: 5px 0; text-align: center; }

Oak Wood Weight Calculator

Estimate the weight of oak wood based on its dimensions and moisture content.

Calculate Wood Weight

Enter the length of the wood piece (in feet).
Enter the width of the wood piece (in inches).
Enter the thickness of the wood piece (in inches).
Typical range is 6-15% for dried lumber, up to 30%+ for green wood.
Red Oak White Oak Select the type of oak. Densities vary slightly.

Calculation Results

Estimated Weight

Pounds (lbs)

Intermediate Values

Volume: cubic feet
Density (Oven-Dry): lbs/cu ft
Weight Adjustment Factor:

Assumptions

Oak Species:
Moisture Content: %

Weight is calculated using: Volume × Adjusted Density. Adjusted Density accounts for moisture content by interpolating between oven-dry density and the density of water (approx. 62.4 lbs/cu ft).

Weight vs. Moisture Content for Selected Oak Species
Typical Oven-Dry Densities for Oak
Oak Species Oven-Dry Density (lbs/cu ft) Specific Gravity (Oven-Dry)
Red Oak 42.0 0.67
White Oak 45.0 0.72

What is Oak Wood Weight Calculation?

The oak wood weight calculator is a specialized tool designed to estimate the total weight of a piece or volume of oak lumber. Unlike generic weight calculators, this tool considers the specific physical properties of oak, primarily its density, which varies slightly between species like Red Oak and White Oak. It also accounts for crucial environmental factors, most notably the moisture content of the wood, as water significantly adds to its overall mass. This oak wood weight calculator is indispensable for anyone involved in woodworking, construction, forestry, shipping, or even just planning a project involving oak.

Who should use it:

  • Woodworkers and Carpenters: To estimate the weight of lumber for material handling, structural calculations, or finishing processes.
  • Construction Professionals: For load-bearing calculations, especially when large quantities of oak are used.
  • Shippers and Logistics Managers: To accurately determine shipping costs and ensure compliance with weight regulations.
  • Homeowners and DIY Enthusiasts: To understand the heft of oak furniture or structural elements for placement or transport.
  • Forestry and Arborists: For estimating timber volume and biomass.

Common misconceptions about oak wood weight:

  • "All oak weighs the same." This is false. Red Oak and White Oak have different densities, and moisture content can double the weight of wood compared to its oven-dry state.
  • "Weight is only dependent on size." While size (volume) is a primary factor, the species of oak and its moisture level are critical modifiers.
  • "Green wood is only slightly heavier than dry wood." Green wood can have moisture content exceeding 50%, making it substantially heavier—sometimes nearly as heavy again—as kiln-dried lumber.

Oak Wood Weight Formula and Mathematical Explanation

The core principle behind calculating the weight of oak wood relies on its volume and density. The fundamental formula is:

Weight = Volume × Adjusted Density

Let's break down the components and how they are calculated:

1. Volume Calculation

The volume of a rectangular piece of lumber is calculated using its dimensions. We need to ensure consistent units for accurate results. Since length is typically measured in feet and width/thickness in inches, we convert everything to cubic feet.

Volume (cu ft) = Length (ft) × [Width (in) × Thickness (in)] / 144

The division by 144 (12 inches/foot × 12 inches/foot) converts the cubic inches (width × thickness × length_in_inches) into cubic feet.

2. Density of Oak

The density of wood is its mass per unit volume. For lumber calculations, we often use the "oven-dry" density, which represents the weight of wood with all free water removed. This provides a baseline. Different oak species have different oven-dry densities:

  • Red Oak: Approximately 42.0 lbs/cu ft
  • White Oak: Approximately 45.0 lbs/cu ft

These values are typically found in forestry and wood science resources.

3. Moisture Content and Adjustment Factor

Wood naturally contains moisture. The amount of moisture significantly impacts its weight. Green wood (freshly cut) can have a moisture content (MC) of 30% to over 50%, while properly dried lumber might range from 6% to 12%. The calculator adjusts the oven-dry density based on the entered moisture content.

We can estimate the density at a given moisture content by interpolating between the oven-dry density and the density of water (approximately 62.4 lbs/cu ft), assuming water fills the void space. A simplified approach used here is to determine an adjustment factor.

Weight Adjustment Factor is derived from the moisture content. A common empirical formula or lookup table is used. For simplicity in this calculator, we calculate a factor based on the percentage of water added to the oven-dry wood. The density at a given moisture content (MC%) can be approximated as:

Density(MC%) = Density(Oven-Dry) × [1 + (MC% / 100) × (DensityWater / DensityOven-Dry)]

However, a more direct calculation for weight at a specific moisture content simplifies to using an empirically derived factor or interpolating between known points. A practical approach for the calculator is to use the oven-dry density and scale it based on the moisture content's contribution to weight. A simplified interpolation factor can be thought of as:

Weight Factor ≈ (1 + (MC% / 100)), scaled appropriately based on species density.

A more accurate method often involves specific gravity adjustments:

Adjusted Density = Oven-Dry Density + (Moisture Content % / 100) × Specific Gravity × Density of Water

Where Density of Water ≈ 62.4 lbs/cu ft.

The calculator uses a simplified interpolation factor for ease of calculation while maintaining reasonable accuracy.

4. Final Weight Calculation

Once the volume and the adjusted density (based on species and moisture content) are known, the total weight is calculated.

Estimated Weight (lbs) = Volume (cu ft) × Adjusted Density (lbs/cu ft)

Variables Table

Variable Meaning Unit Typical Range
Length Length of the wood piece Feet (ft) 1 – 20+
Width Width of the wood piece Inches (in) 1 – 12+
Thickness Thickness of the wood piece Inches (in) 0.5 – 6+
Moisture Content (MC) Percentage of water in the wood by weight % 6 – 30+ (Dried: 6-15%, Green: 30%+)
Oak Species Type of Oak (Red or White) N/A Red Oak, White Oak
Volume Total space occupied by the wood Cubic Feet (cu ft) Calculated
Oven-Dry Density Weight of wood with no moisture Pounds per cubic foot (lbs/cu ft) Red Oak: ~42.0, White Oak: ~45.0
Adjusted Density Density considering current moisture content Pounds per cubic foot (lbs/cu ft) Calculated
Weight Adjustment Factor Multiplier based on moisture content Unitless Calculated
Estimated Weight Total weight of the wood piece Pounds (lbs) Calculated

Practical Examples (Real-World Use Cases)

Example 1: Calculating the weight of a dry Red Oak table leg

A woodworker is building a dining table and needs to know the weight of a single leg made from dried Red Oak. They plan to use a specific piece of lumber with the following dimensions and moisture content.

  • Oak Species: Red Oak
  • Length: 3 feet
  • Width: 4 inches
  • Thickness: 4 inches
  • Moisture Content: 10% (typical for dried furniture wood)

Using the Oak Wood Weight Calculator:

  • Input Length: 3 ft
  • Input Width: 4 in
  • Input Thickness: 4 in
  • Input Moisture Content: 10%
  • Select Species: Red Oak

Calculator Output:

  • Estimated Weight: Approximately 35.4 lbs
  • Volume: 1.00 cu ft
  • Density (Oven-Dry): 42.0 lbs/cu ft
  • Weight Adjustment Factor: ~1.13

Interpretation: Each Red Oak table leg will weigh around 35.4 pounds. This is important for handling during construction, ensuring stability, and understanding the overall heft of the finished table. The weight is significantly higher than the oven-dry weight due to the 10% moisture content.

Example 2: Estimating the weight of a green White Oak beam for outdoor use

A contractor is sourcing lumber for an outdoor pergola and has found a supplier with freshly cut (green) White Oak beams. They need to estimate the weight for transportation planning.

  • Oak Species: White Oak
  • Length: 12 feet
  • Width: 6 inches
  • Thickness: 4 inches
  • Moisture Content: 40% (typical for green, unseasoned wood)

Using the Oak Wood Weight Calculator:

  • Input Length: 12 ft
  • Input Width: 6 in
  • Input Thickness: 4 in
  • Input Moisture Content: 40%
  • Select Species: White Oak

Calculator Output:

  • Estimated Weight: Approximately 177.0 lbs
  • Volume: 3.00 cu ft
  • Density (Oven-Dry): 45.0 lbs/cu ft
  • Weight Adjustment Factor: ~1.56

Interpretation: This 12-foot White Oak beam is extremely heavy, weighing about 177 pounds. This highlights the substantial weight difference between green and dried lumber (an oven-dry beam of the same dimensions would weigh closer to 115 lbs). This weight is crucial for selecting appropriate lifting equipment, vehicle capacity, and planning site logistics for the pergola construction. The high moisture content significantly increases the load.

How to Use This Oak Wood Weight Calculator

Using the oak wood weight calculator is straightforward. Follow these steps to get an accurate weight estimate for your oak wood:

  1. Measure Your Wood: Accurately measure the length, width, and thickness of the oak wood piece(s) you want to weigh. Ensure you use the correct units as specified (feet for length, inches for width and thickness).
  2. Determine Moisture Content: Estimate or measure the moisture content (MC) of the wood. If you are unsure, use typical values: 6-12% for kiln-dried lumber, 15-25% for air-dried lumber, and 30%+ for green (unseasoned) wood. The calculator defaults to 12%.
  3. Select Oak Species: Choose whether your wood is Red Oak or White Oak from the dropdown menu. White Oak is generally denser than Red Oak.
  4. Enter Data: Input the measured dimensions and the estimated moisture content into the corresponding fields on the calculator.
  5. Calculate: Click the "Calculate Weight" button. The calculator will process your inputs using the underlying formulas.

How to read results:

  • Estimated Weight: This is the primary output, showing the total estimated weight of your oak wood in pounds (lbs).
  • Volume: The calculator displays the calculated volume of the wood in cubic feet (cu ft).
  • Density (Oven-Dry): Shows the baseline density of the selected oak species when completely dry.
  • Weight Adjustment Factor: Indicates how much the moisture content increases the wood's weight relative to its oven-dry state.
  • Assumptions: Reminds you of the selected oak species and moisture content used in the calculation.

Decision-making guidance:

Use the estimated weight for practical purposes such as:

  • Material Handling: Knowing if you need help lifting heavy beams or planks.
  • Shipping Costs: Estimating shipping expenses based on weight.
  • Structural Integrity: Incorporating the weight of oak elements into design calculations (e.g., for shelves, beams, or furniture frames).
  • Project Budgeting: Factoring in the material's heft for logistics and handling resources.

Key Factors That Affect Oak Wood Weight Results

While the oak wood weight calculator provides an estimate, several real-world factors can influence the actual weight:

  1. Species Variation: Even within "Red Oak" or "White Oak," there are sub-species (e.g., Northern Red Oak vs. Southern Red Oak) which can have slightly different densities. The calculator uses typical averages.
  2. Moisture Content Fluctuations: Wood is hygroscopic, meaning it absorbs and releases moisture from the surrounding air. The MC can change over time, affecting weight. The calculator uses a static value, but actual weight might vary with environmental humidity. For precise weight needs, measure MC with a reliable moisture meter.
  3. Wood Imperfections: Knots, checks, cracks, and decay can reduce the overall density and therefore the weight of a specific piece of wood. The calculator assumes a solid, uniform piece.
  4. Specific Gravity Variations: Wood density is directly related to its specific gravity. Factors like growing conditions (soil, climate) and the specific part of the tree (heartwood vs. sapwood, earlywood vs. latewood) can cause natural variations in specific gravity.
  5. Sapwood vs. Heartwood: Sapwood (the living outer layers of wood) is often less dense than heartwood (the older, central wood) in many species, including oak. If a piece is predominantly sapwood, it might be lighter than expected for its species.
  6. Dimensional Accuracy: Lumber is often milled to standard sizes, but slight variations in actual width and thickness can occur. More precise measurements lead to more accurate volume calculations and, consequently, more accurate weight estimates.
  7. Extractives: Oak wood contains natural extractives (like tannins) that contribute to its color and durability. These extractives add a small amount of weight to the wood structure itself, although this effect is typically minor compared to moisture.

Frequently Asked Questions (FAQ)

Q1: How accurate is the oak wood weight calculator?

A: The calculator provides a reliable estimate based on standard densities and a common method for adjusting for moisture content. Accuracy depends on the precision of your measurements and the accuracy of the entered moisture content. For highly critical applications, actual measurement or more advanced calculations might be needed.

Q2: Can I use this calculator for oak plywood or veneer?

A: No, this calculator is designed for solid oak lumber. Plywood and veneers have different densities due to their layered construction and the inclusion of adhesives, which are not accounted for here.

Q3: What is the difference between Red Oak and White Oak density?

A: White Oak is generally denser and heavier than Red Oak. Typical oven-dry densities are around 45.0 lbs/cu ft for White Oak and 42.0 lbs/cu ft for Red Oak. This means a piece of White Oak of the same dimensions and moisture content will weigh more than Red Oak.

Q4: How much does moisture content affect the weight of oak?

A: Moisture content has a significant impact. Green oak (30-50%+ MC) can weigh nearly twice as much as properly dried oak (6-12% MC). Water adds considerable mass, making up a substantial portion of the weight in unseasoned wood.

Q5: What does "oven-dry density" mean?

A: Oven-dry density is the weight of wood after all the moisture has been removed by drying it in an oven under controlled conditions. It's a standard baseline measurement used for comparing the inherent density of different wood species, unaffected by moisture variations.

Q6: Should I use the weight from the calculator for shipping calculations?

A: Yes, the estimated weight is suitable for initial shipping cost estimations. For commercial shipping, it's always best to weigh the actual shipment if possible or consult with your shipping provider. Remember to account for packaging weight.

Q7: What if my wood dimensions are not exact inches or feet?

A: For best results, measure as accurately as possible. If using fractional inches (e.g., 3-1/2 inches), convert them to decimals (3.5 inches) before entering them into the calculator. The calculator handles decimal inputs.

Q8: Can I calculate the weight for multiple pieces of oak at once?

A: This calculator is designed for a single piece of lumber at a time. To calculate the total weight for multiple pieces, you can calculate the weight for one representative piece and multiply it by the number of identical pieces, or calculate each piece individually and sum the results.

Related Tools and Internal Resources

var densityData = { red_oak: { name: "Red Oak", density_oven_dry: 42.0, specific_gravity: 0.67 }, white_oak: { name: "White Oak", density_oven_dry: 45.0, specific_gravity: 0.72 } }; var densityOfWater = 62.4; // lbs/cu ft function validateInput(id, min, max) { var input = document.getElementById(id); var errorElement = document.getElementById(id + "Error"); var value = parseFloat(input.value); errorElement.innerText = ""; errorElement.classList.remove("visible"); input.style.borderColor = "#ccc"; if (input.value === "") { errorElement.innerText = "This field cannot be empty."; errorElement.classList.add("visible"); input.style.borderColor = "red"; return false; } if (isNaN(value)) { errorElement.innerText = "Please enter a valid number."; errorElement.classList.add("visible"); input.style.borderColor = "red"; return false; } if (value max) { errorElement.innerText = "Value must be no more than " + max + "."; errorElement.classList.add("visible"); input.style.borderColor = "red"; return false; } return true; } function calculateWeight() { var length = document.getElementById("length").value; var width = document.getElementById("width").value; var thickness = document.getElementById("thickness").value; var moistureContent = document.getElementById("moistureContent").value; var woodType = document.getElementById("woodType").value; var valid = true; valid = validateInput("length", 0.1, 1000) && valid; // Length in feet valid = validateInput("width", 0.1, 100) && valid; // Width in inches valid = validateInput("thickness", 0.1, 50) && valid; // Thickness in inches valid = validateInput("moistureContent", 0, 100) && valid; // Moisture Content % if (!valid) { document.getElementById("mainResult").innerText = "–"; document.getElementById("volumeResult").innerText = "–"; document.getElementById("densityResult").innerText = "–"; document.getElementById("adjustmentFactorResult").innerText = "–"; document.getElementById("speciesAssumption").innerText = "–"; document.getElementById("moistureAssumption").innerText = "–"; document.getElementById("chartContainer").style.display = "none"; return; } var lengthFt = parseFloat(length); var widthIn = parseFloat(width); var thicknessIn = parseFloat(thickness); var mc = parseFloat(moistureContent); var species = densityData[woodType]; // 1. Calculate Volume in Cubic Feet var volumeCuFt = lengthFt * (widthIn * thicknessIn) / 144; // 2. Calculate Adjusted Density var ovenDryDensity = species.density_oven_dry; var specificGravity = species.specific_gravity; var moistureWeightFactor = (mc / 100) * densityOfWater * specificGravity; var adjustedDensity = ovenDryDensity + moistureWeightFactor; // 3. Calculate Weight var weightLbs = volumeCuFt * adjustedDensity; // Weight Adjustment Factor for display (simplified conceptual factor) // This factor conceptually represents how much heavier it is due to moisture. // A simple interpolation might use: (1 + (mc/100)) * some_base_density_modifier // For clarity and common understanding, we'll show the direct density calculation. // A simpler "factor" could be (adjustedDensity / ovenDryDensity) var weightAdjustmentFactor = adjustedDensity / ovenDryDensity; // Update results display document.getElementById("mainResult").innerText = weightLbs.toFixed(2); document.getElementById("volumeResult").innerText = volumeCuFt.toFixed(2); document.getElementById("densityResult").innerText = adjustedDensity.toFixed(2); document.getElementById("adjustmentFactorResult").innerText = weightAdjustmentFactor.toFixed(2); // Display the ratio document.getElementById("speciesAssumption").innerText = species.name; document.getElementById("moistureAssumption").innerText = mc.toFixed(1); // Update chart data updateChart(mc, species.name); document.getElementById("chartContainer").style.display = "block"; } function resetCalculator() { document.getElementById("length").value = "8"; document.getElementById("width").value = "6"; document.getElementById("thickness").value = "1"; document.getElementById("moistureContent").value = "12"; document.getElementById("woodType").value = "red_oak"; // Clear errors var inputs = document.querySelectorAll('.loan-calc-container input, .loan-calc-container select'); for (var i = 0; i < inputs.length; i++) { var errorElement = document.getElementById(inputs[i].id + "Error"); if (errorElement) { errorElement.innerText = ""; errorElement.classList.remove("visible"); } inputs[i].style.borderColor = "#ccc"; } // Reset results document.getElementById("mainResult").innerText = "–"; document.getElementById("volumeResult").innerText = "–"; document.getElementById("densityResult").innerText = "–"; document.getElementById("adjustmentFactorResult").innerText = "–"; document.getElementById("speciesAssumption").innerText = "–"; document.getElementById("moistureAssumption").innerText = "–"; document.getElementById("chartContainer").style.display = "none"; if (window.weightChartInstance) { window.weightChartInstance.destroy(); window.weightChartInstance = null; } } function copyResults() { var mainResult = document.getElementById("mainResult").innerText; var volume = document.getElementById("volumeResult").innerText; var density = document.getElementById("densityResult").innerText; var adjustmentFactor = document.getElementById("adjustmentFactorResult").innerText; var species = document.getElementById("speciesAssumption").innerText; var moisture = document.getElementById("moistureAssumption").innerText; if (mainResult === "–") { alert("No results to copy yet."); return; } var copyText = "— Oak Wood Weight Calculation Results —\n\n"; copyText += "Estimated Weight: " + mainResult + " lbs\n"; copyText += "Volume: " + volume + " cu ft\n"; copyText += "Adjusted Density: " + density + " lbs/cu ft\n"; copyText += "Weight Adjustment Factor: " + adjustmentFactor + " (Density ratio: Adj/OD)\n\n"; copyText += "Assumptions:\n"; copyText += "Oak Species: " + species + "\n"; copyText += "Moisture Content: " + moisture + "%\n"; copyText += "————————————–"; navigator.clipboard.writeText(copyText).then(function() { // Success feedback can be added here, e.g., a temporary message var btn = document.querySelector('button.copy'); var originalText = btn.innerText; btn.innerText = 'Copied!'; setTimeout(function(){ btn.innerText = originalText; }, 2000); }, function(err) { console.error('Async: Could not copy text: ', err); alert('Failed to copy results. Please try manually.'); }); } // Charting Logic function updateChart(currentMC, selectedSpecies) { var canvas = document.getElementById('weightChart'); var ctx = canvas.getContext('2d'); // Destroy previous chart instance if it exists if (window.weightChartInstance) { window.weightChartInstance.destroy(); } var moistureLevels = []; var redOakWeights = []; var whiteOakWeights = []; // Generate data points for a range of moisture contents (e.g., 0% to 50%) for (var mc = 0; mc <= 50; mc += 2) { // Increment by 2% for smoother curve moistureLevels.push(mc); // Calculate Red Oak weight for this MC var ro_od_density = densityData.red_oak.density_oven_dry; var ro_sg = densityData.red_oak.specific_gravity; var ro_moisture_weight = (mc / 100) * densityOfWater * ro_sg; var ro_adj_density = ro_od_density + ro_moisture_weight; // Assume a standard volume for chart comparison, e.g., 1 cu ft redOakWeights.push(1 * ro_adj_density); // Calculate White Oak weight for this MC var wo_od_density = densityData.white_oak.density_oven_dry; var wo_sg = densityData.white_oak.specific_gravity; var wo_moisture_weight = (mc / 100) * densityOfWater * wo_sg; var wo_adj_density = wo_od_density + wo_moisture_weight; whiteOakWeights.push(1 * wo_adj_density); } var datasets = [ { label: 'Red Oak', data: redOakWeights, borderColor: 'rgba(153, 0, 0, 1)', // Darker Red backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1 }, { label: 'White Oak', data: whiteOakWeights, borderColor: 'rgba(0, 0, 102, 1)', // Darker Blue backgroundColor: 'rgba(54, 162, 235, 0.2)', fill: false, tension: 0.1 } ]; // Highlight the currently selected species line slightly differently if needed // For now, standard lines are sufficient. window.weightChartInstance = new Chart(ctx, { type: 'line', data: { labels: moistureLevels.map(function(val) { return val + '%'; }), // Display MC as labels datasets: datasets }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Moisture Content (%)' } }, y: { title: { display: true, text: 'Weight per Cubic Foot (lbs/cu ft)' }, beginAtZero: true } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2) + ' lbs/cu ft'; } return label; } } }, legend: { position: 'top', } } } }); } // Initial calculation and chart setup on load document.addEventListener('DOMContentLoaded', function() { // Add Chart.js library dynamically if not already present if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js'; // Use a specific version for stability script.onload = function() { var initialMC = document.getElementById("moistureContent").value; var initialSpecies = document.getElementById("woodType").value; updateChart(initialMC, initialSpecies); }; document.head.appendChild(script); } else { var initialMC = document.getElementById("moistureContent").value; var initialSpecies = document.getElementById("woodType").value; updateChart(initialMC, initialSpecies); } calculateWeight(); // Perform initial calculation on load with default values });

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